Find Your Dream Career

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We're looking for a Principal Product Manager to lead the strategy and roadmap for Elastic's embedding/reranking and vector database and related capabilities. In this senior role, you'll be the go-to expert on search/vector search, guiding the direction for technologies like vector indexing and hybrid retrieval. This position offers the chance to shape a vital part of our product, working closely with engineering and research teams to ensure that our offerings meet the needs of numerous organizations while keeping pace with the evolving landscape of AI. What You Will Be Doing Conduct market research to uncover emerging trends in search/vector databases as well as SOTA model research in emerging areas to manage unstructured data, working alongside our model team. Evaluate the competitive landscape to enhance product positioning and develop user personas that guide feature decisions. Collaborate with cross-functional teams to align the product strategy with business goals while prioritizing features based on customer feedback and market demands. Establish long-term product goals and milestones for the vector use cases, document AI and unstructured data management to drive its development. Prioritize features and enhancements based on user feedback and technical feasibility. Allocate resources skillfully to ensure timely updates, while coordinating with engineering teams to validate roadmap assumptions. Communicate updates and expectations clearly to stakeholders and executives. Own the vision, strategy, and multi-quarter roadmap for Elastic's vector database as well as core search use cases, from low-level indexing internals to the developer-facing APIs and SDKs. Partner deeply with engineering and applied research on trade-offs, be a credible technical peer in those conversations. Define and defend the metrics that matter: recall, latency, index size, ingestion throughput, and total cost of ownership. Advance the competitiveness of Elastic AI and Vector products across all deployments - Serverless and Self-managed. Define a unified strategy and roadmap across embedding/reranking models and vector indexing/ semantic ingestion, model lifecycle, and end-to-end retrieval quality. Manage the operating cadence. Make sure shared metrics and priorities align the research, cloud, and engineering teams. Address trade-offs where model and index decisions intersect. What You Bring  Bachelor's degree in Computer Science, Engineering, or related field Master's degree in a relevant discipline preferred 8+ years in product management, with significant time on technical infrastructure, databases, search, or ML/AI platforms. You should have good working knowledge of vector search fundamentals. This includes embeddings, ANN indexing, similarity metrics, and trade-offs between recall and latency. Additionally, you need to know about hybrid retrieval. You should have a working knowledge of generative models, model fine tuning, model capabilities and document processing for large corpus You don't need to be a researcher, but you should hold your own with engineers on these topics. A track record of shipping developer- or infrastructure-facing products that were adopted at scale. Compensation for this role is in the form of base salary.  This role does not have a variable compensation component.  The typical starting salary range for new hires in this role is listed below.  These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting.  We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.   An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program.  Our total rewards package also includes a company-matched Registered Retirement Savings Plan (RRSP) with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $192,500 — $304,500 CAD Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co .  We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster;   Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries' export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see  here  for our Privacy Statement.

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We're looking for a Principal Product Manager to lead the strategy and roadmap for Elastic's embedding/reranking and vector database and related capabilities. In this senior role, you'll be the go-to expert on search/vector search, guiding the direction for technologies like vector indexing and hybrid retrieval. This position offers the chance to shape a vital part of our product, working closely with engineering and research teams to ensure that our offerings meet the needs of numerous organizations while keeping pace with the evolving landscape of AI. What You Will Be Doing Conduct market research to uncover emerging trends in search/vector databases as well as SOTA model research in emerging areas to manage unstructured data, working alongside our model team. Evaluate the competitive landscape to enhance product positioning and develop user personas that guide feature decisions. Collaborate with cross-functional teams to align the product strategy with business goals while prioritizing features based on customer feedback and market demands. Establish long-term product goals and milestones for the vector use cases, document AI and unstructured data management to drive its development. Prioritize features and enhancements based on user feedback and technical feasibility. Allocate resources skillfully to ensure timely updates, while coordinating with engineering teams to validate roadmap assumptions. Communicate updates and expectations clearly to stakeholders and executives. Own the vision, strategy, and multi-quarter roadmap for Elastic's vector database as well as core search use cases, from low-level indexing internals to the developer-facing APIs and SDKs. Partner deeply with engineering and applied research on trade-offs, be a credible technical peer in those conversations. Define and defend the metrics that matter: recall, latency, index size, ingestion throughput, and total cost of ownership. Advance the competitiveness of Elastic AI and Vector products across all deployments - Serverless and Self-managed. Define a unified strategy and roadmap across embedding/reranking models and vector indexing/ semantic ingestion, model lifecycle, and end-to-end retrieval quality. Manage the operating cadence. Make sure shared metrics and priorities align the research, cloud, and engineering teams. Address trade-offs where model and index decisions intersect. What You Bring  Bachelor's degree in Computer Science, Engineering, or related field Master's degree in a relevant discipline preferred 8+ years in product management, with significant time on technical infrastructure, databases, search, or ML/AI platforms. You should have good working knowledge of vector search fundamentals. This includes embeddings, ANN indexing, similarity metrics, and trade-offs between recall and latency. Additionally, you need to know about hybrid retrieval. You should have a working knowledge of generative models, model fine tuning, model capabilities and document processing for large corpus You don't need to be a researcher, but you should hold your own with engineers on these topics. A track record of shipping developer- or infrastructure-facing products that were adopted at scale. Compensation for this role is in the form of base salary.  This role does not have a variable compensation component.   At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €130.900 — €207.100 EUR Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co .  We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster;   Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries' export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see  here  for our Privacy Statement.

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We're looking for a Principal Product Manager to lead the strategy and roadmap for Elastic's embedding/reranking and vector database and related capabilities. In this senior role, you'll be the go-to expert on search/vector search, guiding the direction for technologies like vector indexing and hybrid retrieval. This position offers the chance to shape a vital part of our product, working closely with engineering and research teams to ensure that our offerings meet the needs of numerous organizations while keeping pace with the evolving landscape of AI. What You Will Be Doing Conduct market research to uncover emerging trends in search/vector databases as well as SOTA model research in emerging areas to manage unstructured data, working alongside our model team. Evaluate the competitive landscape to enhance product positioning and develop user personas that guide feature decisions. Collaborate with cross-functional teams to align the product strategy with business goals while prioritizing features based on customer feedback and market demands. Establish long-term product goals and milestones for the vector use cases, document AI and unstructured data management to drive its development. Prioritize features and enhancements based on user feedback and technical feasibility. Allocate resources skillfully to ensure timely updates, while coordinating with engineering teams to validate roadmap assumptions. Communicate updates and expectations clearly to stakeholders and executives. Own the vision, strategy, and multi-quarter roadmap for Elastic's vector database as well as core search use cases, from low-level indexing internals to the developer-facing APIs and SDKs. Partner deeply with engineering and applied research on trade-offs, be a credible technical peer in those conversations. Define and defend the metrics that matter: recall, latency, index size, ingestion throughput, and total cost of ownership. Advance the competitiveness of Elastic AI and Vector products across all deployments - Serverless and Self-managed. Define a unified strategy and roadmap across embedding/reranking models and vector indexing/ semantic ingestion, model lifecycle, and end-to-end retrieval quality. Manage the operating cadence. Make sure shared metrics and priorities align the research, cloud, and engineering teams. Address trade-offs where model and index decisions intersect. What You Bring  Bachelor's degree in Computer Science, Engineering, or related field Master's degree in a relevant discipline preferred 8+ years in product management, with significant time on technical infrastructure, databases, search, or ML/AI platforms. You should have good working knowledge of vector search fundamentals. This includes embeddings, ANN indexing, similarity metrics, and trade-offs between recall and latency. Additionally, you need to know about hybrid retrieval. You should have a working knowledge of generative models, model fine tuning, model capabilities and document processing for large corpus You don't need to be a researcher, but you should hold your own with engineers on these topics. A track record of shipping developer- or infrastructure-facing products that were adopted at scale. Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co .  We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster;   Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries' export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see  here  for our Privacy Statement.

We're looking for a Senior Infrastructure Engineer who brings strong software engineering skills and a deep understanding of production systems. This role is a good fit for someone who enjoys building systems that make infrastructure more scalable, reliable, and easy to operate – using code, not runbooks. You'll work with a highly collaborative team to design and build the internal platforms that power all of Asana, from product features to AI systems to offline analytics. Our tech stack includes: AWS, Kubernetes (EKS), MySQL (RDS), OpenSearch, DynamoDB, Redis, Terraform, Datadog, TypeScript, Scala, Go, and Python. We're especially interested in people who think like backend engineers but care deeply about systems – things like failure modes, operational cost, debuggability, and performance. This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements. We offer a Contract of Employment (UoP) for our employees in Poland. What you'll achieve: Design and build frameworks, tools, and services that improve the reliability, observability, and scalability of Asana's infrastructure. Lead end-to-end projects, from scoping and design through to rollout, across multiple systems and teams. Improve the operability of stateful infrastructure like MySQL, OpenSearch, and DynamoDB – and help drive Asana's long-term vision for storage reliability. Debug production issues across the stack. Yes, there's an on-call rotation – but this isn't a pager monkey role. You're here to fix things properly and make sure they don't break again. Partner with product teams to shape a service-oriented architecture that enables fast, reliable development. Share knowledge through code reviews, design discussions, and mentorship. About you: Strong software engineering background – you're comfortable writing production code and designing systems (we use Go, Python, Scala, TypeScript). 5+ years of experience building and operating backend systems at scale. Familiarity with distributed systems and storage technologies (SQL, NoSQL, Search), especially in cloud environments. Experience with AWS services (e.g. RDS, EKS, IAM), Terraform, and monitoring tooling like Datadog or similar. Solid understanding of SRE principles (e.g. SLIs/SLOs, error budgets, incident response), but you approach reliability as a software problem first. Clear communicator and strong collaborator – you're comfortable navigating trade-offs with stakeholders across the stack. Important: If you're only comfortable with scripting, this isn't the right role . We're looking for engineers who build and ship real systems. Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making Why this role? Founding team: You'll be one of the first SREs in Warsaw – and a key player in a growing team. Drive real change: This isn't a role where you'll just patch up legacy systems. We are expecting (and supporting) real architectural changes to improve reliability, scalability, and long-term operability. Big impact: Our product is scaling fast, and reliability is a top company priority. Room to grow: As this team grows, so will your influence – whether you want to lead projects, mentor others, or help shape how we scale. Global collaboration : Work closely with experienced engineers in San Francisco, Reykjavik, and Warsaw, while helping build the future of SRE at Asana. What we'll offer: Generous, transparent and fair compensation system (base salary and generous Restricted Stock Unit for Asana Inc.). Contract of Employment ( with 50% tax deductible costs for author's rights usage for Engineers). Health insurance with dental and travel coverage (Lux Med). Lunch catering on the days that you work from the office. Career growth budget. Home office setup budget. Gym/Fitness reimbursement. Fertility healthcare and family-forming support with Carrot . Mental health support in Modern Health. Group life insurance. MacBooks with all necessary accessories. For this role, the estimated base salary range is between 31,000 - 36,000 PLN gross monthly on the contract of employment (UoP). The actual base salary will vary based on various factors and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base compensation range for this role may be modified. Our total compensation consists of base salary and equity (RSUs). #LI-Hybrid #LI-AZ About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana's Talent Network  to stay up to date on job opportunities and life at Asana.

  About Gusto At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve. All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy . AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process. About the Role: We are seeking an experienced L4 People Technology Developer to lead the design, configuration, and optimization of Workday solutions that power our HR and payroll processes. The ideal candidate brings advanced, wide-ranging Workday expertise, applies creative and effective solutions to complex business problems, and guides the development of new approaches and best practices. This role operates with a high degree of independence, mentors others on Workday functionality, and partners closely with the People Team, IT, and cross-functional stakeholders to ensure Workday delivers scalable, business-ready outcomes. About the Team: The People Operations, Services, and Technology team is transforming how Gusto supports its people by pairing cutting-edge AI with smart automation. We optimize workflows, enhance service delivery, and free up teams to focus on meaningful, high-impact work to support a more responsive, efficient, and future-ready people experience. Day To Day:   Workday Configuration & Enhancements Lead configuration of Workday modules (e.g., Payroll, Absence, Time Tracking, HCM, Talent, Compensation) on complex business requirements, applying in-depth evaluation to determine optimal approaches. Architect and guide development of Workday Business Processes, calculated fields, condition rules, and security roles; exercise judgment in selecting methods and techniques on new assignments. Lead evaluation and adoption of new features with each Workday release; identify creative solutions and guide policy development for optimization across modules. Reporting & Analytics Develop and own advanced, matrix, composite, and dashboard reports in Workday; apply in-depth analytical judgment to surface actionable workforce insights for senior stakeholders. Drive data quality and integrity standards across Workday and connected systems; provide in-depth analytical insights to inform workforce decisions and cross-functional planning. Own audit readiness through proactive reporting, documentation, and control frameworks; determine appropriate methods independently. Testing & Quality Assurance Design and lead test strategies including test plans, scripts, and UAT coordination; exercise independent judgment in defining testing approaches and resolving complex issues. Lead regression and functional testing for biannual Workday releases; determine procedures and guide team approach to ensure quality and business continuity. Collaboration & Support Network with key contacts across functions; adapt communication style to diverse audiences and frequently advise others—including senior partners—on complex Workday matters, using persuasion and judgment to drive alignment. Provide expert-level Workday system support; independently diagnose and resolve complex issues, and develop scalable solutions that prevent recurrence. Mentor and upskill team members and key users on Workday functionality; act as an internal subject matter authority on system capabilities and best practices. Required Qualifications Bachelor's degree in Computer Science, Information Systems, HR Technology, or related field (or equivalent experience). 5-7 years of hands-on Workday analyst or configuration experience Advanced, wide-ranging knowledge of Workday security, business processes, reporting, and calculated fields; proven ability to independently determine methods and techniques on new, complex assignments. Demonstrated ability to work on complex, ambiguous issues requiring in-depth evaluation; exercises independent judgment in selecting approaches, with work reviewed upon completion rather than in progress. Preferred Qualifications Workday certifications (Payroll, Absence, HCM, Benefits, Time Tracking, Reporting). Experience in HR, payroll, benefits, or related domains. Experience working in an agile environment; track record of guiding new policy development and mentoring junior team members on system best practices. Compensation: At Gusto, we strive to provide rewards that empower employees to achieve their financial and personal goals. We offer competitive compensation packages with a strong emphasis on equity based compensation (ownership in Gusto). To learn more about Gusto's compensation philosophy and benefits offerings please view our Total Rewards Approach page. Our cash compensation range for this role is $128,000/yr to $160,000/yr in Denver & most remote locations, and $154,000/yr to $193,000/yr in San Francisco, Seattle & New York. Final offer amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amounts listed above. At Gusto, we don't use titles the traditional way, as a signal of rank or hierarchy. Instead, our titles describe two things at once — your craft (what you do, e.g. Engineering, Design) and your scope of ownership (what you're accountable for) — which is why you'll see something like "Head of X" instead of a rank word like "Director" that tells you neither. Because of this, the title on this posting may look different from what you'd expect based on the scope and seniority of the role, and from how similar roles are typically titled elsewhere. If you have questions about how this role compares to your current title or level, your recruiter can help translate. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas.  When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees. Reliable, consistent presence: We expect regular and predictable attendance, whether you're working in-office, hybrid, or fully remote, so that you stay closely connected to your team, customers, and stakeholders in real time and ensure colleagues and customers receive the timely support and responsiveness they deserve. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.  Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer . Personal information collected and processed as part of your Gusto application will be subject to  Gusto's Applicant Privacy Notice .

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex's AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We're committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Operations at Brex Operations is the backbone of Brex's mission to power businesses through our Intelligent Finance Platform. We own credit, fraud, money movement, and payments, protecting our customers and our company. From product operations that ensure flawless launches to scalable systems that drive innovation and precision, we operate at the intersection of product, design, engineering, and customer success. If you want to work at the heart of the business, Operations is where you belong. What you'll do As a Fraud Strategy Associate, you'll own the end-to-end integrity of Brex's fraud and risk ecosystem across credit, deposit, and card payment rails. You'll find patterns, trace root causes, and build the detection logic, automations, and reporting that keep fraud in check without adding friction for customers. You'll design your own solutions, see fraud across every product vertical, and partner with Risk, Data Science, Engineering, and Product to build prevention into the product itself.  Where you'll work This role will be based in our New York office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work! Responsibilities Strategic Analysis & Detection Data Mining: Use SQL and Python to mine large-scale data, and apply LLM-based tools to detect and automate the identification of fraudulent patterns across credit, deposit, and card payment rails. Vendor and Rule Optimization: Design and refine automated detection logic to proactively mitigate risk while maintaining a frictionless experience for legitimate customers. Emerging Threat Intelligence: Stay ahead of industry trends and regulatory shifts to rapidly deploy new defensive strategies against novel fraud vectors. Operational Excellence & Process Ownership Workflow Architecture: optimize the internal processes for fraud investigations, ensuring operational discipline, case visibility, and high-fidelity documentation. Cross-Functional Collaboration: Serve as the strategic bridge between Risk Leadership, Analytics, Data Science, Engineering, and Product teams to integrate fraud-prevention infrastructure into the core product lifecycle. Tooling & Infrastructure: Define and manage the technical requirements for internal AI-driven tools and third-party risk-reduction platforms. Metrics, Reporting & Performance KPI Management : Define and monitor key performance indicators (KPIs) such as false positive rates, fraud capture rates, and operational turnaround times. Executive Dashboards : Build and maintain scalable reporting suites to provide real-time visibility into fraud exposure and program effectiveness for senior stakeholders. Impact Assessment : Conduct deep-dive post-mortems on fraud incidents to quantify financial impact and recommend structural process improvements. Requirements Industry Experience: 3+ years of experience in fraud strategy, risk operations, or data-driven business operations within a financial services or high-growth fintech environment. Technical Mastery: Capable with SQL and/or Python for data wrangling, statistical modeling, and automation. Operational Mindset: Proven ability to build scalable processes and manage complex projects from data exploration through to operational rollout. Communication: Exceptional ability to synthesize complex analytical findings into clear, executive-level strategic narratives. Bonus Points Advanced Certification: Certified Fraud Examiner (CFE) designation. Experience with Snowflake, Salesforce, and data visualization platforms like Hex. Experience managing fraud risk and operational workflows for products spanning multiple geographic jurisdictions. Experience utilizing AI tools to enhance internal operational efficiency. Compensation The expected salary range for this role is $111,197 - $138,996. However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.   Brex LLC is a wholly owned subsidiary of Capital One, N.A. Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a  brex.com  domain. Any outreach claiming to be from Brex via other sources should be ignored.

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex's AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We're committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Operations at Brex Operations is the backbone of Brex's mission to power businesses through our Intelligent Finance Platform. We own credit, fraud, money movement, and payments, protecting our customers and our company. From product operations that ensure flawless launches to scalable systems that drive innovation and precision, we operate at the intersection of product, design, engineering, and customer success. If you want to work at the heart of the business, Operations is where you belong. What you'll do As a Fraud Strategy Associate, you'll own the end-to-end integrity of Brex's fraud and risk ecosystem across credit, deposit, and card payment rails. You'll find patterns, trace root causes, and build the detection logic, automations, and reporting that keep fraud in check without adding friction for customers. You'll design your own solutions, see fraud across every product vertical, and partner with Risk, Data Science, Engineering, and Product to build prevention into the product itself.  Where you'll work This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work! Responsibilities Strategic Analysis & Detection Data Mining: Use SQL and Python to mine large-scale data, and apply LLM-based tools to detect and automate the identification of fraudulent patterns across credit, deposit, and card payment rails. Vendor and Rule Optimization: Design and refine automated detection logic to proactively mitigate risk while maintaining a frictionless experience for legitimate customers. Emerging Threat Intelligence: Stay ahead of industry trends and regulatory shifts to rapidly deploy new defensive strategies against novel fraud vectors. Operational Excellence & Process Ownership Workflow Architecture: optimize the internal processes for fraud investigations, ensuring operational discipline, case visibility, and high-fidelity documentation. Cross-Functional Collaboration: Serve as the strategic bridge between Risk Leadership, Analytics, Data Science, Engineering, and Product teams to integrate fraud-prevention infrastructure into the core product lifecycle. Tooling & Infrastructure: Define and manage the technical requirements for internal AI-driven tools and third-party risk-reduction platforms. Metrics, Reporting & Performance KPI Management : Define and monitor key performance indicators (KPIs) such as false positive rates, fraud capture rates, and operational turnaround times. Executive Dashboards : Build and maintain scalable reporting suites to provide real-time visibility into fraud exposure and program effectiveness for senior stakeholders. Impact Assessment : Conduct deep-dive post-mortems on fraud incidents to quantify financial impact and recommend structural process improvements. Requirements Industry Experience: 3+ years of experience in fraud strategy, risk operations, or data-driven business operations within a financial services or high-growth fintech environment. Technical Mastery: Capable with SQL and/or Python for data wrangling, statistical modeling, and automation. Operational Mindset: Proven ability to build scalable processes and manage complex projects from data exploration through to operational rollout. Communication: Exceptional ability to synthesize complex analytical findings into clear, executive-level strategic narratives. Bonus Points Advanced Certification: Certified Fraud Examiner (CFE) designation. Experience with Snowflake, Salesforce, and data visualization platforms like Hex. Experience managing fraud risk and operational workflows for products spanning multiple geographic jurisdictions. Experience utilizing AI tools to enhance internal operational efficiency. Compensation The expected salary range for this role is $111,197 - $138,996. However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.   Brex LLC is a wholly owned subsidiary of Capital One, N.A. Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a  brex.com  domain. Any outreach claiming to be from Brex via other sources should be ignored.

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex's AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We're committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Operations at Brex Operations is the backbone of Brex's mission to power businesses through our Intelligent Finance Platform. We own credit, fraud, money movement, and payments, protecting our customers and our company. From product operations that ensure flawless launches to scalable systems that drive innovation and precision, we operate at the intersection of product, design, engineering, and customer success. If you want to work at the heart of the business, Operations is where you belong. What you'll do As a Fraud Strategy Associate, you'll own the end-to-end integrity of Brex's fraud and risk ecosystem across credit, deposit, and card payment rails. You'll find patterns, trace root causes, and build the detection logic, automations, and reporting that keep fraud in check without adding friction for customers. You'll design your own solutions, see fraud across every product vertical, and partner with Risk, Data Science, Engineering, and Product to build prevention into the product itself.  Where you'll work This role will be based in our Salt Lake City office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work! Responsibilities Strategic Analysis & Detection Data Mining: Use SQL and Python to mine large-scale data, and apply LLM-based tools to detect and automate the identification of fraudulent patterns across credit, deposit, and card payment rails. Vendor and Rule Optimization: Design and refine automated detection logic to proactively mitigate risk while maintaining a frictionless experience for legitimate customers. Emerging Threat Intelligence: Stay ahead of industry trends and regulatory shifts to rapidly deploy new defensive strategies against novel fraud vectors. Operational Excellence & Process Ownership Workflow Architecture: optimize the internal processes for fraud investigations, ensuring operational discipline, case visibility, and high-fidelity documentation. Cross-Functional Collaboration: Serve as the strategic bridge between Risk Leadership, Analytics, Data Science, Engineering, and Product teams to integrate fraud-prevention infrastructure into the core product lifecycle. Tooling & Infrastructure: Define and manage the technical requirements for internal AI-driven tools and third-party risk-reduction platforms. Metrics, Reporting & Performance KPI Management : Define and monitor key performance indicators (KPIs) such as false positive rates, fraud capture rates, and operational turnaround times. Executive Dashboards : Build and maintain scalable reporting suites to provide real-time visibility into fraud exposure and program effectiveness for senior stakeholders. Impact Assessment : Conduct deep-dive post-mortems on fraud incidents to quantify financial impact and recommend structural process improvements. Requirements Technical Mastery: Capable with SQL and/or Python for data wrangling, statistical modeling, and automation. Industry Experience: 3+ years of experience in fraud strategy, risk operations, or data-driven business operations within a financial services or high-growth fintech environment. Operational Mindset: Proven ability to build scalable processes and manage complex projects from data exploration through to operational rollout. Communication: Exceptional ability to synthesize complex analytical findings into clear, executive-level strategic narratives. Bonus Points Advanced Certification: Certified Fraud Examiner (CFE) designation. Experience with Snowflake, Salesforce, and data visualization platforms like Hex. Experience managing fraud risk and operational workflows for products spanning multiple geographic jurisdictions. Experience utilizing AI tools to enhance internal operational efficiency. Compensation The expected salary range for this role is $95,040 - $118,800.  However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.   Brex LLC is a wholly owned subsidiary of Capital One, N.A. Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a  brex.com  domain. Any outreach claiming to be from Brex via other sources should be ignored.

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex's AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We're committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Operations at Brex Operations is the backbone of Brex's mission to power businesses through our Intelligent Finance Platform. We own credit, fraud, money movement, and payments, protecting our customers and our company. From product operations that ensure flawless launches to scalable systems that drive innovation and precision, we operate at the intersection of product, design, engineering, and customer success. If you want to work at the heart of the business, Operations is where you belong. What you'll do As a Fraud Strategy Associate, you'll own the end-to-end integrity of Brex's fraud and risk ecosystem across credit, deposit, and card payment rails. You'll find patterns, trace root causes, and build the detection logic, automations, and reporting that keep fraud in check without adding friction for customers. You'll design your own solutions, see fraud across every product vertical, and partner with Risk, Data Science, Engineering, and Product to build prevention into the product itself.  Where you'll work This role will be based in our Vancouver office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work! Responsibilities Strategic Analysis & Detection Data Mining: Use SQL and Python to mine large-scale data, and apply LLM-based tools to detect and automate the identification of fraudulent patterns across credit, deposit, and card payment rails. Vendor and Rule Optimization: Design and refine automated detection logic to proactively mitigate risk while maintaining a frictionless experience for legitimate customers. Emerging Threat Intelligence: Stay ahead of industry trends and regulatory shifts to rapidly deploy new defensive strategies against novel fraud vectors. Operational Excellence & Process Ownership Workflow Architecture: optimize the internal processes for fraud investigations, ensuring operational discipline, case visibility, and high-fidelity documentation. Cross-Functional Collaboration: Serve as the strategic bridge between Risk Leadership, Analytics, Data Science, Engineering, and Product teams to integrate fraud-prevention infrastructure into the core product lifecycle. Tooling & Infrastructure: Define and manage the technical requirements for internal AI-driven tools and third-party risk-reduction platforms. Metrics, Reporting & Performance KPI Management : Define and monitor key performance indicators (KPIs) such as false positive rates, fraud capture rates, and operational turnaround times. Executive Dashboards : Build and maintain scalable reporting suites to provide real-time visibility into fraud exposure and program effectiveness for senior stakeholders. Impact Assessment : Conduct deep-dive post-mortems on fraud incidents to quantify financial impact and recommend structural process improvements. Requirements Technical Mastery: Capable with SQL and/or Python for data wrangling, statistical modeling, and automation. Industry Experience: 3+ years of experience in fraud strategy, risk operations, or data-driven business operations within a financial services or high-growth fintech environment. Operational Mindset: Proven ability to build scalable processes and manage complex projects from data exploration through to operational rollout. Communication: Exceptional ability to synthesize complex analytical findings into clear, executive-level strategic narratives. Bonus Points Advanced Certification: Certified Fraud Examiner (CFE) designation. Experience with Snowflake, Salesforce, and data visualization platforms like Hex. Experience managing fraud risk and operational workflows for products spanning multiple geographic jurisdictions. Experience utilizing AI tools to enhance internal operational efficiency. Compensation The expected salary range for this role is $95,040 - $118,800.  However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.   Brex LLC is a wholly owned subsidiary of Capital One, N.A. Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a  brex.com  domain. Any outreach claiming to be from Brex via other sources should be ignored.

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex's AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We're committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Operations at Brex Operations is the backbone of Brex's mission to power businesses through our Intelligent Finance Platform. We own credit, fraud, money movement, and payments, protecting our customers and our company. From product operations that ensure flawless launches to scalable systems that drive innovation and precision, we operate at the intersection of product, design, engineering, and customer success. If you want to work at the heart of the business, Operations is where you belong. What you'll do As a Fraud Strategy Associate, you'll own the end-to-end integrity of Brex's fraud and risk ecosystem across credit, deposit, and card payment rails. You'll find patterns, trace root causes, and build the detection logic, automations, and reporting that keep fraud in check without adding friction for customers. You'll design your own solutions, see fraud across every product vertical, and partner with Risk, Data Science, Engineering, and Product to build prevention into the product itself.  Where you'll work This role will be based in our Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work! Responsibilities Strategic Analysis & Detection Data Mining: Use SQL and Python to mine large-scale data, and apply LLM-based tools to detect and automate the identification of fraudulent patterns across credit, deposit, and card payment rails. Vendor and Rule Optimization: Design and refine automated detection logic to proactively mitigate risk while maintaining a frictionless experience for legitimate customers. Emerging Threat Intelligence: Stay ahead of industry trends and regulatory shifts to rapidly deploy new defensive strategies against novel fraud vectors. Operational Excellence & Process Ownership Workflow Architecture: optimize the internal processes for fraud investigations, ensuring operational discipline, case visibility, and high-fidelity documentation. Cross-Functional Collaboration: Serve as the strategic bridge between Risk Leadership, Analytics, Data Science, Engineering, and Product teams to integrate fraud-prevention infrastructure into the core product lifecycle. Tooling & Infrastructure: Define and manage the technical requirements for internal AI-driven tools and third-party risk-reduction platforms. Metrics, Reporting & Performance KPI Management : Define and monitor key performance indicators (KPIs) such as false positive rates, fraud capture rates, and operational turnaround times. Executive Dashboards : Build and maintain scalable reporting suites to provide real-time visibility into fraud exposure and program effectiveness for senior stakeholders. Impact Assessment : Conduct deep-dive post-mortems on fraud incidents to quantify financial impact and recommend structural process improvements. Requirements Industry Experience: 3+ years of experience in fraud strategy, risk operations, or data-driven business operations within a financial services or high-growth fintech environment. Technical Mastery: Capable with SQL and/or Python for data wrangling, statistical modeling, and automation. Operational Mindset: Proven ability to build scalable processes and manage complex projects from data exploration through to operational rollout. Communication: Exceptional ability to synthesize complex analytical findings into clear, executive-level strategic narratives. Bonus Points Advanced Certification: Certified Fraud Examiner (CFE) designation. Experience with Snowflake, Salesforce, and data visualization platforms like Hex. Experience managing fraud risk and operational workflows for products spanning multiple geographic jurisdictions. Experience utilizing AI tools to enhance internal operational efficiency. Compensation The expected salary range for this role is $111,197 - $138,996. However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.   Brex LLC is a wholly owned subsidiary of Capital One, N.A. Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a  brex.com  domain. Any outreach claiming to be from Brex via other sources should be ignored.

MongoDB's mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it's no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. Get to Know the Sales Team Our sales team's success is MongoDB's success. We help customers solve challenges and build their next big thing. And our mission is to bring our developer data platform to new markets and new businesses around the globe. Our sales leadership is committed to building the best salesforce in technology. This means, inspiring and enabling success for everyone on the team. We not only equip you to be successful, but we want your feedback and input on how we can continue to " Think Big and Go Far ."  The Opportunity As an Enterprise Account Executive, Growth, you will play a pivotal role in driving the growth and success of MongoDB. You will be responsible for identifying and pursuing new business opportunities within an existing customer base, cultivating relationships with key stakeholders, and ensuring the successful adoption of our solutions. We are looking to speak with candidates who are based in Boston for our hybrid working model. What You'll Be Doing Prospect into CTOs, Engineering/IT leaders, and technical end users Grow a current base of MongoDB customers by landing new workloads through outbound prospecting Manage the full sales cycle for all MongoDB Products & Services Develop and execute a strategic territory plan to achieve revenue targets Collaborate with the sales ecosystem to drive sales initiatives and partnerships Build a sales pipeline in Salesforce and Clari while maximizing prospecting tools such as Sales Navigator, ZoomInfo, Sendoso, and Outreach What You'll Bring To The Role 5+ years of quota-carrying field sales experience with a focus on closing new workloads and expanding accounts Demonstrated ability to successfully expand existing accounts and sell horizontally across the organization into different business units A proven track record of overachievement and hitting sales targets Ability to articulate the business value of complex enterprise technology Co-selling with cloud service providers (AWS, GCP and Azure) and large GSIs (Accenture, KPMG, etc) is a plus Must live in territory (flexible work model) Fluent in English  Things We Love Passionate about growing your career in the largest market in software (database) Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales) Familiarity with databases, develops and open source technology a plus To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB , and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Req ID: 425446 MongoDB's base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB's total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB's base salary range for this role in the U.S. is: $150,000 — $150,000 USD

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine's Top Company Cultures list and ranked among the World's Most Innovative Companies by Fast Company. At Cloudflare, we're not looking for people who wait for a polished roadmap; we're looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you're the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you'll fit right in. Available Locations:  Austin, TX; San Francisco, CA; New York City About the role The web is undergoing a structural transition from a search-first economy to an AI-mediated, agentic ecosystem. Cloudflare sits in front of more than 20% of the world's web traffic, providing an unmatched, front-row view of how Large Language Models (LLMs), AI bots, and autonomous agents interact with digital content. We are seeking a Strategic Partnerships Lead / Director to join Cloudflare's Strategic Partnerships team. In this high-impact, zero-to-one role, you will define and execute our strategy to transform Cloudflare's rich network and CDN data into actionable business, marketing, and Answer Engine Optimization (AEO) intelligence. What you'll do You will act as the crucial bridge between enterprise customers, Product & Engineering, and Go-To-Market (GTM) teams. Your mission is to build and commercialize the "Analytics of the Agentic Era"—helping non-technical business leaders, CMOs, and digital publishers measure content value, track agentic traffic, and optimize brand visibility across AI answer engines. Responsibilities 1. Product Influence & Analytics Suite Definition Partner closely with Product Management and Engineering to translate raw CDN, bot, and network traffic signals into executive-ready dashboards and commercial analytics products. Help design first-party analytics tools tailored for business personas—focusing on metrics like scraping-to-referral ratios, prompt library integrations, LLM brand presence, and content gap analysis. Run design partner programs with top enterprise customers and media brands to gather feedback, validate feature roadmaps, and co-develop analytics prototypes. 2. GTM Strategy & Sales Enablement Collaborate with Cloudflare's Enterprise Sales and GTM teams to package, price, and position the Advanced Analytics Suite for commercial buyers. Create sales playbooks, value frameworks, and pitch materials that translate complex technical infrastructure data into compelling business stories for non-technical buyers. Serve as a domain expert in high-stakes customer meetings, executive briefing centers (EBCs), and pilot programs. 3. Expanding the Buyer Horizon Beyond CISOs Champion Cloudflare's strategic positioning beyond security (CISOs) and infrastructure (CTOs), actively expanding our mindshare among CMOs, digital strategists, and commercial leaders. Educate external stakeholders on critical concepts in the agentic web, such as Answer Engine Optimization (AEO), Generative Engine Optimization (GEO), and synthetic web traffic attribution. 4. Ecosystem & Strategic Alliances Identify, evaluate, and structure strategic partnerships with adjacent players in the marketing tech and AI ecosystem (e.g., AEO measurement platforms, attribution providers, AI ad networks, and commercial data platforms). Leverage ecosystem relationships to enrich Cloudflare's analytics capabilities and build joint go-to-market motions. Desirable Skills, Knowledge, and Experience: 10+ Years of Experience: Demonstrated track record in strategic partnerships, business development, product marketing, or strategy within digital media, martech, web analytics, or data platform ecosystems. Technical + Commercial Fluency: Exceptional ability to understand complex technical infrastructure (CDNs, bot management, traffic logs, APIs) while possessing a keen empathy for marketing and business mechanics (KPIs, CAC/LTV, attribution, content monetization). 0-to-1 Builder Mindset: Proven experience taking early-stage, ambiguous product concepts from ideation to scaled commercial distribution. C-Suite Storytelling & Communication: Superior written and verbal communication skills, with a track record of presenting to C-level executives (CMOs, CEOs) and simplifying complex developer concepts into strategic business imperatives. Cross-Functional Leadership: Strong experience orchestrating alignment across engineering, product management, sales, legal, and executive leadership teams. Location: Based in or willing to work hybrid from our San Francisco, CA or New York, NY or Austin, TX offices. Compensation Compensation may be adjusted depending on work location. For San Francisco based hires: Estimated annual salary of $195,000 - $268,000 For New York City based hires: Estimated annual salary of $186,000 - $255,000 Equity This role is eligible to participate in Cloudflare's equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare's enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here's the deal - we don't store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you'd like to be a part of? We'd love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.