BetterCloud
About the Team Customer & Product Support (C&PS) sits at the intersection of sales, customer success and R&D teams. Through close teamwork and collaboration, we drive positive customer outcomes and ensure seamless access and optimal utilization of AlphaSense's market leading platform and products. We are committed to enhancing every user's experience through consistent delivery of prompt and knowledgeable responses. The Customer & Product Support team is based globally across the US, UK, India and Singapore. About the Role We are looking for a proactive and experienced Senior Cloud Support Engineer to join our dynamic team. In this role, you will serve as a key technical resource and advocate for our customers, tackling complex technical challenges and driving customer satisfaction. You will leverage your expertise in cloud technologies, distributed systems and AI driven search platforms to ensure smooth deployment, troubleshooting, and optimization of customer solutions. This role is ideal for someone who thrives in a fast paced environment and enjoys solving high impact problems. For longer term growth opportunities within AlphaSense, we see this role as a stepping stone for those interested in growing into our Site Reliability Engineering (SRE) team. To make this possible, we have a program to facilitate ongoing training and tight collaboration with Engineering. Other options for progression pathways will be dependent on skill sets and individual performance goals. What You'll Do Deliver exceptional technical support: Act as the second line of defense for technical queries, ensuring timely and effective resolution of customer issues through close collaboration between L1 support and R&D teams. Troubleshoot and resolve technical challenges: Investigate, diagnose, and resolve issues related to both SaaS and private cloud environments, including AWS infrastructure and Kubernetes workloads, agentic systems and MCP connectors, providing necessary detail for Product and Engineering to carry forward complex cases. Collaborate cross functionally: Partner with the wider Customer & Product Support organization, Product and Engineering and Customer Education teams to relay customer feedback, identify opportunities for improvement, and contribute to strategic product enhancements. Contribute to knowledge sharing: Create and update support documentation, KEDBs, FAQs, and tutorials to empower customers and internal teams. Be an advocate for customers: Represent the voice of the customer in internal discussions and initiatives to maximize the value of our platform and products. Be an expert on our product and continuously build your knowledge: Proactively learn, stay up-to-date on new features and fill any gaps in your knowledge. Who You Are A technically skilled professional with 3-5 years in technical support, IT operations, or a related field. A strong communicator with the ability to distill complex technical concepts for diverse audiences. A problem solver with a proactive and customer first mindset. Adaptable and eager to continuously learn and improve. Enjoy being part of an entrepreneurial team and work diligently to help others when needed. Minimum Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent practical experience). Proficiency in CLI tools (e.g., kubectl, awscli) and scripting skills in Python, JavaScript, or similar. Understanding of GraphQL, REST APIs and MCP related troubleshooting. Experience and knowledge of connecting LLMs to external tools, including multi agent systems. Experience with alerting/logging systems (e.g., Prometheus, Grafana, FireHydrant). Demonstrated ability to communicate complex technical concepts to customers and team members. Experience in managing customer support cases throughout their lifecycle, including inquiry, triage, bug reporting, and resolution. Ability to create and maintain runbooks that ensure clear and actionable documentation for deeper troubleshooting procedures and Level 1 and 2 support training. Preferred Qualifications Experience in networking and troubleshooting complex network issues. Experience troubleshooting in at least one major cloud platform (preferably AWS) and containerized environments using Kubernetes or Docker. Extensive experience working with GraphQL and other web APIs. Hands on experience with Infrastructure as Code tools, such as Crossplane, and related troubleshooting. Experience with Search Technologies and Data Storages (e.g., Vespa, ElasticSearch, MongoDB, MySQL). Experience or familiarity with the Java programming language. Experience with standard software release lifecycles. Equal Opportunity Employer AlphaSense is an equal opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense's commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination. In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.
About the Team Customer & Product Support (C&PS) sits at the intersection of sales, customer success and R&D teams. Through close teamwork and collaboration, we drive positive customer outcomes and ensure seamless access and optimal utilization of AlphaSense's market leading platform and products. We are committed to enhancing every user's experience through consistent delivery of prompt and knowledgeable responses. The Customer & Product Support team is based globally across the US, UK, India and Singapore. About the Role We are looking for a proactive and experienced Senior Cloud Support Engineer to join our dynamic team. In this role, you will serve as a key technical resource and advocate for our customers, tackling complex technical challenges and driving customer satisfaction. You will leverage your expertise in cloud technologies, distributed systems and AI driven search platforms to ensure smooth deployment, troubleshooting, and optimization of customer solutions. This role is ideal for someone who thrives in a fast paced environment and enjoys solving high impact problems. For longer term growth opportunities within AlphaSense, we see this role as a stepping stone for those interested in growing into our Site Reliability Engineering (SRE) team. To make this possible, we have a program to facilitate ongoing training and tight collaboration with Engineering. Other options for progression pathways will be dependent on skill sets and individual performance goals. What You'll Do Deliver exceptional technical support: Act as the second line of defense for technical queries, ensuring timely and effective resolution of customer issues through close collaboration between L1 support and R&D teams. Troubleshoot and resolve technical challenges: Investigate, diagnose, and resolve issues related to both SaaS and private cloud environments, including AWS infrastructure and Kubernetes workloads, agentic systems and MCP connectors, providing necessary detail for Product and Engineering to carry forward complex cases. Collaborate cross functionally: Partner with the wider Customer & Product Support organization, Product and Engineering and Customer Education teams to relay customer feedback, identify opportunities for improvement, and contribute to strategic product enhancements. Contribute to knowledge sharing: Create and update support documentation, KEDBs, FAQs, and tutorials to empower customers and internal teams. Be an advocate for customers: Represent the voice of the customer in internal discussions and initiatives to maximize the value of our platform and products. Be an expert on our product and continuously build your knowledge: Proactively learn, stay up-to-date on new features and fill any gaps in your knowledge. Who You Are A technically skilled professional with 3-5 years in technical support, IT operations, or a related field. A strong communicator with the ability to distill complex technical concepts for diverse audiences. A problem solver with a proactive and customer first mindset. Adaptable and eager to continuously learn and improve. Enjoy being part of an entrepreneurial team and work diligently to help others when needed. Minimum Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent practical experience). Proficiency in CLI tools (e.g., kubectl, awscli) and scripting skills in Python, JavaScript, or similar. Understanding of GraphQL, REST APIs and MCP related troubleshooting. Experience and knowledge of connecting LLMs to external tools, including multi agent systems. Experience with alerting/logging systems (e.g., Prometheus, Grafana, FireHydrant). Demonstrated ability to communicate complex technical concepts to customers and team members. Experience in managing customer support cases throughout their lifecycle, including inquiry, triage, bug reporting, and resolution. Ability to create and maintain runbooks that ensure clear and actionable documentation for deeper troubleshooting procedures and Level 1 and 2 support training. Preferred Qualifications Experience in networking and troubleshooting complex network issues. Experience troubleshooting in at least one major cloud platform (preferably AWS) and containerized environments using Kubernetes or Docker. Extensive experience working with GraphQL and other web APIs. Hands on experience with Infrastructure as Code tools, such as Crossplane, and related troubleshooting. Experience with Search Technologies and Data Storages (e.g., Vespa, ElasticSearch, MongoDB, MySQL). Experience or familiarity with the Java programming language. Experience with standard software release lifecycles. Equal Opportunity Employer AlphaSense is an equal opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense's commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination. In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.
BetterCloud
About the Role: This is a Staff Engineer role with real breadth. It requires both operational and software development skills, the ability to lead projects and collaborate across timezones with Engineering leaders and very senior Engineers across dozens of teams. You'll design and operate production grade delivery infrastructure, contribute hands on in Go and Python, and help shape the engineering practices a global organisation depends on. We're looking for someone who genuinely embraces AI tooling in their day to day work, appreciates the productivity value it brings, and is motivated to push that further, both in their own practice and by helping embed AI assisted workflows into the SDLC for the wider engineering organization. Who You Are: Strong experience in Platform Engineering or Developer Experience roles focused on CI/CD and delivery, ideally at companies with 200+ engineers Experience owning and operating a CI/CD platform at admin and architecture level, including security, configuration, and enablement Proven ability to design and operate delivery systems at scale Hands on software development experience including production quality Go Passion for progressive delivery practices: canary deployments & automated rollbacks Familiarity with cloud native architectures and Kubernetes based platforms Passion for using AI to improve engineering velocity, quality, and developer experience Strong collaboration skills and ability to influence across teams Nice to Have Built and/or maintained an IDP in production Nice to Have Previous experience working in both Software and Platform Engineering teams Nice to Have Interest in Security and an understanding of RBAC and OAuth What You'll Do: Own and evolve our CI/CD architecture and the developer facing experience Drive continuous improvements to pipeline reliability, speed, and predictability Define paved paths that let product teams ship fast and safely without deep platform knowledge Own the delivery process end to end, from code merge to production Champion progressive delivery practices: canary deployments & automated rollbacks Build tooling that makes deployments observable, repeatable, and self service Own and evolve our Internal Developer Portal and the self service experience around it Partner with Cloud Platform teams on infrastructure while owning the developer facing delivery Embed AI tooling into delivery workflows in ways that create lasting productivity gains. AlphaSense is an equal opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense's commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination. In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.
About the Role: This is a Staff Engineer role with real breadth. It requires both operational and software development skills, the ability to lead projects and collaborate across timezones with Engineering leaders and very senior Engineers across dozens of teams. You'll design and operate production grade delivery infrastructure, contribute hands on in Go and Python, and help shape the engineering practices a global organisation depends on. We're looking for someone who genuinely embraces AI tooling in their day to day work, appreciates the productivity value it brings, and is motivated to push that further, both in their own practice and by helping embed AI assisted workflows into the SDLC for the wider engineering organization. Who You Are: Strong experience in Platform Engineering or Developer Experience roles focused on CI/CD and delivery, ideally at companies with 200+ engineers Experience owning and operating a CI/CD platform at admin and architecture level, including security, configuration, and enablement Proven ability to design and operate delivery systems at scale Hands on software development experience including production quality Go Passion for progressive delivery practices: canary deployments & automated rollbacks Familiarity with cloud native architectures and Kubernetes based platforms Passion for using AI to improve engineering velocity, quality, and developer experience Strong collaboration skills and ability to influence across teams Nice to Have Built and/or maintained an IDP in production Nice to Have Previous experience working in both Software and Platform Engineering teams Nice to Have Interest in Security and an understanding of RBAC and OAuth What You'll Do: Own and evolve our CI/CD architecture and the developer facing experience Drive continuous improvements to pipeline reliability, speed, and predictability Define paved paths that let product teams ship fast and safely without deep platform knowledge Own the delivery process end to end, from code merge to production Champion progressive delivery practices: canary deployments & automated rollbacks Build tooling that makes deployments observable, repeatable, and self service Own and evolve our Internal Developer Portal and the self service experience around it Partner with Cloud Platform teams on infrastructure while owning the developer facing delivery Embed AI tooling into delivery workflows in ways that create lasting productivity gains. AlphaSense is an equal opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense's commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination. In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.
BetterCloud
About AlphaSense: The world's most sophisticated companies rely on AlphaSense to remove uncertainty from decision making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients' own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! About the Role The Financial Data Application Specialist role at AlphaSense lives at the intersection of sales, customer success, and technical implementation for AlphaSense's financial data products. This is a new team at AlphaSense supporting a strategic area of investment for the business, so we are looking for entrepreneurial minded people that can use learnings from client discussions to help optimize both our go to market and product strategies. Specialists add value across our revenue organization by building relationships with prospects and clients, providing deep technical knowledge to demonstrate the value of AlphaSense's financial data while helping to drive adoption. Due to the extensive exposure that Specialists have with clients, they're also in a prime location to partner with our sales, product, marketing and leadership teams in determining future product developments that will resonate with the market. What You'll Do Growth Initiatives: Assist sales in demos and strategic trials of AlphaSense's financial data solutions. The team also runs trial training calls, making the ability to overcome common objections and communicate our value proposition essential to success. Customer Health: The team works hand in hand with account management, speaking with and visiting users to provide advanced training, customizations, and product consultations. Specialists often drive adoption by building custom templates or other bespoke modeling tools for our customers. Subject Matter Expert: Specialists have expertise in quantitative analysis for investment and valuation decisions. They know the use cases that our customers are likely to care about, and package it for utilization by sales and account management. This can come in the form of how to videos, enablement, product marketing, support articles and others that can be used for meetings or email distribution. Product Direction: Because of our Specialists' deep understanding of both our financial data products and customers, they are in a position to field feedback and identify product opportunities, and relay that information across the organization (account management, account executives, product, management). Consultative Support: Act as an escalation point for our product and support teams on difficult scenarios our customers may face with our solutions, particularly when leveraging Excel Addins. Manage and resolve challenges related to the full integration of our modeling solutions into our clients' workflows. Regional Agility: Comfortable working in a leaner EMEA team structure, flexing across sales, CS, and product support skillsets and adapting coverage as needed to collaborate effectively with our larger US based Financial Data team. Who You Are A client facing professional with a superior ability to develop rapport with new people, and to maintain relationships, combined with a positive and proactive personality. Someone who has worked with external stakeholders - whether senior investment professionals, corporate development and M&A teams, investor relations, corporate strategy, or competitive intelligence functions - and wants to spend their time client facing and actively engaged with them. Someone who can speak the language of finance and knows how to analyze a company's financial data, benchmark it against its peers, and understand how professionals in these roles use quantitative tools to make decisions. Committed to becoming a SME for financial data across all industries, personas, and verticals. A passion for technology, AI, and the capital markets. Excellent in 360 degree communication and collaboration. Able to distill and explain complex issues in simple terms - this is a teaching and enablement role, helping clients learn to do things with our product rather than doing the work for them. Genuine interest to learn how the different tools we've built contribute to our clients' processes, to help identify when a particular client should be using them, and to identify solutions that solve for a client's needs. Intrinsically motivated and a self starter, with the ability to stay energized in repetitive client conversations and contribute to a dynamic and entrepreneurial team culture. Strong time management, organization, and task prioritization skills, with comfort juggling many moving pieces across a fast moving, high growth team. An independent problem solver, making multiple efforts to solve problems on your own before escalating. Comfortable working in ambiguity, and flexible enough to adapt as needed to drive customer happiness, ideally with experience operating in a smaller, high growth team environment. Familiar with the institutional investor landscape, financial markets, and investment research - or with the corporate finance landscape (corporate development, M&A, FP&A, IR, strategy) and the quantitative tools those teams rely on. Minimum Qualifications A foundation in finance or corporate finance - for example, progress toward a CFA or a bachelor's degree in Economics/Finance/Accounting, OR equivalent hands on exposure to financial analysis through a corporate development, M&A, investor relations, corporate strategy, or competitive intelligence function. 2-4 years of relevant experience in equity research, investment management, private equity, accounting, consulting, corporate development/M&A, investor relations, or a comparable client oriented role, with a strong desire to move toward client facing positions. Demonstrated ability to work with financial data in some form - for example, building or interpreting a comparable company's analysis, benchmarking a company against its peers, or understanding how you would approach that work. You do not need to have built three statement models yourself, but you must be able to speak the language of finance and do benchmarking. Strong Excel abilities (nice to have: familiarity with AI powered spreadsheet tools and/or experience leveraging generative AI tools within productivity software). Excellent communication skills, as you must manage relationships with high profile fund managers, corporate finance leaders, and junior analysts alike. AlphaSense is an equal opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense's commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination. In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.
About AlphaSense: The world's most sophisticated companies rely on AlphaSense to remove uncertainty from decision making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients' own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! About the Role The Financial Data Application Specialist role at AlphaSense lives at the intersection of sales, customer success, and technical implementation for AlphaSense's financial data products. This is a new team at AlphaSense supporting a strategic area of investment for the business, so we are looking for entrepreneurial minded people that can use learnings from client discussions to help optimize both our go to market and product strategies. Specialists add value across our revenue organization by building relationships with prospects and clients, providing deep technical knowledge to demonstrate the value of AlphaSense's financial data while helping to drive adoption. Due to the extensive exposure that Specialists have with clients, they're also in a prime location to partner with our sales, product, marketing and leadership teams in determining future product developments that will resonate with the market. What You'll Do Growth Initiatives: Assist sales in demos and strategic trials of AlphaSense's financial data solutions. The team also runs trial training calls, making the ability to overcome common objections and communicate our value proposition essential to success. Customer Health: The team works hand in hand with account management, speaking with and visiting users to provide advanced training, customizations, and product consultations. Specialists often drive adoption by building custom templates or other bespoke modeling tools for our customers. Subject Matter Expert: Specialists have expertise in quantitative analysis for investment and valuation decisions. They know the use cases that our customers are likely to care about, and package it for utilization by sales and account management. This can come in the form of how to videos, enablement, product marketing, support articles and others that can be used for meetings or email distribution. Product Direction: Because of our Specialists' deep understanding of both our financial data products and customers, they are in a position to field feedback and identify product opportunities, and relay that information across the organization (account management, account executives, product, management). Consultative Support: Act as an escalation point for our product and support teams on difficult scenarios our customers may face with our solutions, particularly when leveraging Excel Addins. Manage and resolve challenges related to the full integration of our modeling solutions into our clients' workflows. Regional Agility: Comfortable working in a leaner EMEA team structure, flexing across sales, CS, and product support skillsets and adapting coverage as needed to collaborate effectively with our larger US based Financial Data team. Who You Are A client facing professional with a superior ability to develop rapport with new people, and to maintain relationships, combined with a positive and proactive personality. Someone who has worked with external stakeholders - whether senior investment professionals, corporate development and M&A teams, investor relations, corporate strategy, or competitive intelligence functions - and wants to spend their time client facing and actively engaged with them. Someone who can speak the language of finance and knows how to analyze a company's financial data, benchmark it against its peers, and understand how professionals in these roles use quantitative tools to make decisions. Committed to becoming a SME for financial data across all industries, personas, and verticals. A passion for technology, AI, and the capital markets. Excellent in 360 degree communication and collaboration. Able to distill and explain complex issues in simple terms - this is a teaching and enablement role, helping clients learn to do things with our product rather than doing the work for them. Genuine interest to learn how the different tools we've built contribute to our clients' processes, to help identify when a particular client should be using them, and to identify solutions that solve for a client's needs. Intrinsically motivated and a self starter, with the ability to stay energized in repetitive client conversations and contribute to a dynamic and entrepreneurial team culture. Strong time management, organization, and task prioritization skills, with comfort juggling many moving pieces across a fast moving, high growth team. An independent problem solver, making multiple efforts to solve problems on your own before escalating. Comfortable working in ambiguity, and flexible enough to adapt as needed to drive customer happiness, ideally with experience operating in a smaller, high growth team environment. Familiar with the institutional investor landscape, financial markets, and investment research - or with the corporate finance landscape (corporate development, M&A, FP&A, IR, strategy) and the quantitative tools those teams rely on. Minimum Qualifications A foundation in finance or corporate finance - for example, progress toward a CFA or a bachelor's degree in Economics/Finance/Accounting, OR equivalent hands on exposure to financial analysis through a corporate development, M&A, investor relations, corporate strategy, or competitive intelligence function. 2-4 years of relevant experience in equity research, investment management, private equity, accounting, consulting, corporate development/M&A, investor relations, or a comparable client oriented role, with a strong desire to move toward client facing positions. Demonstrated ability to work with financial data in some form - for example, building or interpreting a comparable company's analysis, benchmarking a company against its peers, or understanding how you would approach that work. You do not need to have built three statement models yourself, but you must be able to speak the language of finance and do benchmarking. Strong Excel abilities (nice to have: familiarity with AI powered spreadsheet tools and/or experience leveraging generative AI tools within productivity software). Excellent communication skills, as you must manage relationships with high profile fund managers, corporate finance leaders, and junior analysts alike. AlphaSense is an equal opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense's commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination. In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.