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Location: United States (Remote); Canada (Remote) Workplace: Remote ROLE SUMMARY Join our dynamic team as a Staff Application Security Engineer, where you'll play a pivotal role in securing the Temporal development pipeline, product, and customer execution environment. In this position, you'll work closely with software engineering teams and customers to build security deeply into our platform across multiple clouds. You'll also build production ready AI assisted security workflows with the right guardrails. We're looking for individuals who are passionate about enabling engineering teams to build and ship securely, serving as trusted security partners across the organization. WHAT YOU’LL DO - Collaborate with product and engineering teams to integrate security principles into the design and architecture of products. - Lead complex threat modeling and risk assessments to identify vulnerabilities and potential attack vectors across the full product surface. - Drive strategy, influence architecture, and set direction for security across multiple teams or org-wide. - Manage the Secure Development pipeline including code security and 3rd party library supply chain security. - Stay current on emerging standards and guidance (e.g. OWASP Top 10 for LLMs, MCP security specifications) and translate these into actionable internal policy. - Own responsibility disclosed vulnerabilities in both Cloud and Open Source products. - Able to participate in on-call rotation. WHAT YOU’LL BRING - Bachelor’s degree in Computer Science, Cybersecurity, or a related field (or equivalent experience). - 7+ years in application or product security or a related role. - Proven partnership with engineering teams, bringing security expertise to the planning and development process. - Ability to write production-quality code in at least one programming language, with a history of development beyond simple scripting. - Knowledge of encryption, authentication, and secure communication protocols. - Familiarity with tools like SAST, DAST, and penetration testing frameworks. - A deep understanding of application architecture and design principles, ability to effectively identify vulnerabilities across multiple programming languages - Excellent communication and ability to explain complex security concepts to non-technical stakeholders. - Kubernetes security posture management and auditing, including workload hardening, RBAC design, and admission control. - Demonstrated experience with multi-tenant security architecture, including data plane isolation, control plane hardening, and cross-tenant data leakage prevention. NICE TO HAVE - Distributed computing and related vulnerability experience. - Familiarity with Go. - Running a Security Champions program. - Open Source automation or automation projects. - Expertise in other areas of security. - Security conference talks or published research. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: Remote, Any, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Fivetran Fivetran is the global leader in automated data movement, helping organizations centralize data from hundreds of sources into the destinations that power their analytics and AI. Our Databases product area is core to that mission: we build the connectors and underlying engine that reliably, securely, and efficiently move data out of the systems enterprises run their business on, and into the modern destinations they analyze it in. About the Role Fivetran's Databases portfolio spans source connectors for the OLTP and legacy systems enterprises depend on — Oracle, SQL Server, MySQL, PostgreSQL, DB2, SAP, and more — as well as the destination connectors (Snowflake, BigQuery, Databricks, Redshift, and others) that land that data for analytics and AI use cases. Underneath both sides sits a shared core data processing engine that captures, transforms, and loads data reliably at scale across Fivetran’s 700+ connectors. We're hiring a Product Manager to help define what's next for the portfolio. This is a technically-oriented, high-leverage role for someone who wants to own roadmap decisions that sit close to the metal — replication mechanics, schema handling, CDC — while still being fluent in the business case (ARR, customer focus, competitive dynamics) that justifies the investment. You'll partner closely with the engineering teams building and improving connectors, work with the sales and marketing teams to launch new features and drive adoption, and with company leadership to influence product strategy. What You'll Do Identify and prioritize the highest-impact opportunities for new Fivetran database source connectors and destination connectors, grounded in customer demand, competitive gaps, and revenue potential. Partner with engineering leadership on platform features to shape the roadmap for how data is captured, transformed, and loaded reliably at scale across every connector that depends on it. Write and evangelize clear PRDs that translate customer and market signals into specs engineering can build against with minimal back-and-forth. Own roadmaps end-to-end: discovery, prioritization, spec, build partnership, launch, and post-launch iteration. Deeply analyze market and customer behavioral data to drive evidence-based product investments. Engage directly with customers, prospects, and field teams (Sales, Solutions Engineering, Support) to validate problems and de-risk investments before committing engineering resources. Represent the Databases product area in cross-functional planning. What We're Looking For 5+ years of product management experience with significant exposure to data infrastructure, databases, ETL/ELT systems Comfort operating at technical depth (schema design, replication mechanics, CDC, data types) and business altitude (ARR, TAM, competitive positioning) in the same day. A track record of owning outcomes for complex, engineering-heavy roadmaps Strong written and verbal communication skills: PRDs, feature briefs, and roadmap narratives that engineering and executives can act on without additional translation. Bonus: direct experience with database internals, log-based CDC, or building/operating a data replication or processing engine. The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Pay Range $243,936 — $304,920 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The opportunity Build the machine learning capabilities that help advertisers understand what they could achieve on Reddit and make better investment decisions. You will lead models that estimate how campaign outcomes could change with different budgets, bids, audiences, creative performance, or objectives. The work connects supply and demand forecasting, audience availability, response prediction, and marketplace simulation to help advertisers compare alternatives and recognize valuable opportunities they may be missing. This is a hands-on technical leadership role with ownership of modeling direction, evaluation standards, and reusable production capabilities across advertiser planning and recommendations. What you’ll do Lead forecasting and scenario modeling. Translate advertiser questions into models of delivery, reach, performance, and investment tradeoffs. Set technical direction and guide execution across the team. Connect inventory, demand, and response. Combine forecasts of available advertising opportunities, audience activity, marketplace competition, and predicted response to estimate achievable delivery and performance. Estimate outcomes under alternative choices. Develop models that account for changes in budget, bid, audience, and optimization objective, including interactions among these choices, auction dynamics, and campaign constraints. Quantify unrealized opportunity. Incorporate creative-performance estimates from partner teams to assess how stronger creative could have improved campaign results. Translate those inputs into potential gains in delivery, efficiency, or advertiser value. Build models that generalize. Apply probabilistic forecasting, multitask learning, transfer learning, hierarchical modeling, or related approaches to handle sparse segments, cold start, delayed feedback, and changing conditions. Establish trustworthy comparisons. Evaluate numerical accuracy, calibration, uncertainty, and cohort-level performance. Define supported scenarios and identify when additional evidence or experimentation is needed. Close the learning loop. Compare recorded predictions with mature outcomes, diagnose systematic errors, and validate scenario estimates through experiments and observed results. Own production delivery and technical leadership. Partner with engineers on reliable training, serving, monitoring, and iteration. Lead designs, mentor engineers, and collaborate with Product, Data Science, Ads Delivery, Audience, and Creative teams. What we’re looking for A track record of developing and shipping predictive ML systems in advertising, marketplaces, recommendations, search, demand forecasting, or similarly complex domains. Strong foundations in statistical learning, probability, and optimization, with experience modeling large-scale behavioral or transactional data. Depth in one or more relevant areas: probabilistic or hierarchical forecasting, calibrated conversion/value prediction, multitask or transfer learning, delayed-feedback or survival modeling, or response modeling . Strong judgment in evaluation, including temporal validation, calibration, segment-level performance, and the assumptions required to estimate outcomes under changed conditions. Experience addressing sparse observations, cold start, seasonality, distribution shift, selection bias, or partially observed labels. Strong programming and software engineering skills, including experience building and operating production ML systems. Demonstrated ability to lead ambiguous technical initiatives, make practical tradeoffs, and develop other engineers. Preferred experience Complementary depth in one or more of: Demand, supply, and inventory forecasting: Advertising inventory, marketplace demand, traffic, retail demand, or capacity forecasting. Relevant methods include probabilistic time-series models, hierarchical/global forecasting, external-signal modeling, and multi-horizon prediction. Auction and investment modeling: Auction simulation or replay, conditional win-rate and price models, bid/budget response curves, or constrained optimization. Scenario evaluation: Counterfactual or off-policy evaluation, sensitivity analysis, uncertainty propagation, or composition of multiple predictive models. Reach and audience estimation: Population and overlap estimation, probabilistic reach/frequency models, sampling correction, or saturation modeling. Advanced predictive methods: Mixture-of-experts, distributional or quantile prediction, temporal sequence models, or state-space models. What success looks like Accurate and calibrated forecasts across priority advertiser populations; credible comparisons of supported campaign alternatives; reusable capabilities across planning and recommendations; and evidence that advertisers identify valuable opportunities and make better investment decisions. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-AK1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000 — $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: USA - New York (dbt) From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About the Role AI is changing how data practitioners write, debug, and ship dbt code. As Staff Product Manager for Developer Experience , you will set the strategy for how that change plays out in dbt. You will own the vision, roadmap, and outcomes for the end-to-end developer workflow: the Studio IDE , Developer Agent (our AI coding assistant inside dbt Wizard), the Cloud CLI , and the dbt VS Code Extension . These surfaces are the daily home of tens of thousands of data practitioners, from seasoned analytics engineers to newer practitioners who rely on AI to move faster with confidence. This is a Staff-level role with broad scope and direct influence on company direction. You will be the key partner to the Fusion team , the engine behind dbt’s next-generation compilation and intelligence. You will decide how Fusion’s capabilities become differentiated developer experiences, and you will make sure developer needs shape the Fusion roadmap. The feedback loop between Developer Experience and Fusion is central to how dbt Cloud evolves, and you will be its architect. We are looking for someone who is both strategic and hands-on: a leader who can define where AI-native developer tooling is going, and who is deeply passionate about AI agents and what it takes to build them well. In This Role, You Will Set strategy and own the roadmap Define and own the multi-year vision and roadmap for developer experience across Studio IDE, Developer Agent, Cloud CLI, and the VS Code Extension, and translate it into clear priorities, sequencing, and tradeoffs. Align developer experience investments with company strategy, product-led growth goals, and the Fusion platform direction. Set success metrics and hold yourself accountable for the outcomes. Make high-stakes bets on where to invest, what to build, and what not to build, using market insight, customer evidence, and technical judgment. Lead AI agent product development Define what a best-in-class AI coding agent looks like for the full range of dbt users. This includes agentic workflows, multi-step task execution, context management, natural language interaction, and guided experiences that meet users where they are. Shape principles for trust, transparency, control, and evaluation in agentic experiences, so users can rely on the agent for real work. Track the fast-moving AI development landscape (Copilot, Cursor, Devin, and beyond) and turn it into a differentiated point of view, not just feature parity. Drive cross-functional execution and influence Partner with the Fusion team to co-define the boundary between platform and product, agree on API contracts, and keep roadmaps coordinated. Lead engineering, design, and GTM teams through a predictable shipping cadence, and keep teams aligned on what matters and why. Influence senior leadership and stakeholders across the company with crisp strategy docs, compelling demos, and clear framing of complex tradeoffs. Mentor other PMs and raise the bar for product craft, rigor, and technical depth across the organization. Stay close to users and the market Build tight feedback loops with the dbt community and enterprise customers, with particular attention to power users and technical practitioners. Use user research and competitive analysis to ground strategy in evidence and bring a sharp external perspective into planning. What Success Looks Like A clear, widely understood developer experience strategy that engineering, design, and leadership are aligned behind. Developer Agent is recognized as a differentiated, well-regarded AI coding product for data practitioners, not just a feature. Developer satisfaction and engagement (activation, session depth, feature adoption) The Fusion partnership runs on shared roadmap visibility, clear contracts, and coordinated launches. The Cloud CLI is a first-class product that developers actively choose. You’re a Good Fit If You Have 8+ years of product management experience , including a track record of owning strategy and roadmap for developer platforms at scale. Direct experience owning developer environment products , with an informed point of view on what makes development tools excellent and where modern IDEs fall short. Hands-on experience with AI agents. You have built, shipped, or led agentic features (multi-step LLM workflows, tool use, context management, evaluation), and you are passionate about the space. You use AI coding assistants daily and have strong, well-reasoned opinions about what works and what doesn’t. A history of leading complex, cross-functional initiatives and influencing without authority, including across platform and product team boundaries. A strong technical foundation: you can reason about system architecture, engage deeply with engineers, and contribute to technical decisions. Experience turning user research and developer feedback into prioritized, well-scoped product work. Excellent written and verbal communication, from crisp specs to executive-level narratives. Comfort working asynchronously on a distributed, remote team. You’ll Have an Edge If You Have Experience building or shipping AI agent products at the frontier, such as agentic UX, evaluation frameworks, or agent orchestration. Hands-on experience with dbt or similar SQL-first transformation frameworks. Familiarity with LSP, tree-sitter, or other IDE infrastructure primitives. Experience with CLI tooling and developer workflow automation. Background in open source or strong engagement with developer communities. Knowledge of modern data warehouses (Snowflake, BigQuery, Databricks, Redshift) and the analytics engineering ecosystem. The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. New York Pay Range $243,936 — $304,920 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: USA - Austin (dbt) From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About the Role AI is changing how data practitioners write, debug, and ship dbt code. As Staff Product Manager for Developer Experience , you will set the strategy for how that change plays out in dbt. You will own the vision, roadmap, and outcomes for the end-to-end developer workflow: the Studio IDE , Developer Agent (our AI coding assistant inside dbt Wizard), the Cloud CLI , and the dbt VS Code Extension . These surfaces are the daily home of tens of thousands of data practitioners, from seasoned analytics engineers to newer practitioners who rely on AI to move faster with confidence. This is a Staff-level role with broad scope and direct influence on company direction. You will be the key partner to the Fusion team , the engine behind dbt’s next-generation compilation and intelligence. You will decide how Fusion’s capabilities become differentiated developer experiences, and you will make sure developer needs shape the Fusion roadmap. The feedback loop between Developer Experience and Fusion is central to how dbt Cloud evolves, and you will be its architect. We are looking for someone who is both strategic and hands-on: a leader who can define where AI-native developer tooling is going, and who is deeply passionate about AI agents and what it takes to build them well. In This Role, You Will Set strategy and own the roadmap Define and own the multi-year vision and roadmap for developer experience across Studio IDE, Developer Agent, Cloud CLI, and the VS Code Extension, and translate it into clear priorities, sequencing, and tradeoffs. Align developer experience investments with company strategy, product-led growth goals, and the Fusion platform direction. Set success metrics and hold yourself accountable for the outcomes. Make high-stakes bets on where to invest, what to build, and what not to build, using market insight, customer evidence, and technical judgment. Lead AI agent product development Define what a best-in-class AI coding agent looks like for the full range of dbt users. This includes agentic workflows, multi-step task execution, context management, natural language interaction, and guided experiences that meet users where they are. Shape principles for trust, transparency, control, and evaluation in agentic experiences, so users can rely on the agent for real work. Track the fast-moving AI development landscape (Copilot, Cursor, Devin, and beyond) and turn it into a differentiated point of view, not just feature parity. Drive cross-functional execution and influence Partner with the Fusion team to co-define the boundary between platform and product, agree on API contracts, and keep roadmaps coordinated. Lead engineering, design, and GTM teams through a predictable shipping cadence, and keep teams aligned on what matters and why. Influence senior leadership and stakeholders across the company with crisp strategy docs, compelling demos, and clear framing of complex tradeoffs. Mentor other PMs and raise the bar for product craft, rigor, and technical depth across the organization. Stay close to users and the market Build tight feedback loops with the dbt community and enterprise customers, with particular attention to power users and technical practitioners. Use user research and competitive analysis to ground strategy in evidence and bring a sharp external perspective into planning. What Success Looks Like A clear, widely understood developer experience strategy that engineering, design, and leadership are aligned behind. Developer Agent is recognized as a differentiated, well-regarded AI coding product for data practitioners, not just a feature. Developer satisfaction and engagement (activation, session depth, feature adoption) The Fusion partnership runs on shared roadmap visibility, clear contracts, and coordinated launches. The Cloud CLI is a first-class product that developers actively choose. You’re a Good Fit If You Have 8+ years of product management experience , including a track record of owning strategy and roadmap for developer platforms at scale. Direct experience owning developer environment products , with an informed point of view on what makes development tools excellent and where modern IDEs fall short. Hands-on experience with AI agents. You have built, shipped, or led agentic features (multi-step LLM workflows, tool use, context management, evaluation), and you are passionate about the space. You use AI coding assistants daily and have strong, well-reasoned opinions about what works and what doesn’t. A history of leading complex, cross-functional initiatives and influencing without authority, including across platform and product team boundaries. A strong technical foundation: you can reason about system architecture, engage deeply with engineers, and contribute to technical decisions. Experience turning user research and developer feedback into prioritized, well-scoped product work. Excellent written and verbal communication, from crisp specs to executive-level narratives. Comfort working asynchronously on a distributed, remote team. You’ll Have an Edge If You Have Experience building or shipping AI agent products at the frontier, such as agentic UX, evaluation frameworks, or agent orchestration. Hands-on experience with dbt or similar SQL-first transformation frameworks. Familiarity with LSP, tree-sitter, or other IDE infrastructure primitives. Experience with CLI tooling and developer workflow automation. Background in open source or strong engagement with developer communities. Knowledge of modern data warehouses (Snowflake, BigQuery, Databricks, Redshift) and the analytics engineering ecosystem. The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Pay Range $226,657 — $283,322 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Oakland, California, United States From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About the Role AI is changing how data practitioners write, debug, and ship dbt code. As Staff Product Manager for Developer Experience , you will set the strategy for how that change plays out in dbt. You will own the vision, roadmap, and outcomes for the end-to-end developer workflow: the Studio IDE , Developer Agent (our AI coding assistant inside dbt Wizard), the Cloud CLI , and the dbt VS Code Extension . These surfaces are the daily home of tens of thousands of data practitioners, from seasoned analytics engineers to newer practitioners who rely on AI to move faster with confidence. This is a Staff-level role with broad scope and direct influence on company direction. You will be the key partner to the Fusion team , the engine behind dbt’s next-generation compilation and intelligence. You will decide how Fusion’s capabilities become differentiated developer experiences, and you will make sure developer needs shape the Fusion roadmap. The feedback loop between Developer Experience and Fusion is central to how dbt Cloud evolves, and you will be its architect. We are looking for someone who is both strategic and hands-on: a leader who can define where AI-native developer tooling is going, and who is deeply passionate about AI agents and what it takes to build them well. In This Role, You Will Set strategy and own the roadmap Define and own the multi-year vision and roadmap for developer experience across Studio IDE, Developer Agent, Cloud CLI, and the VS Code Extension, and translate it into clear priorities, sequencing, and tradeoffs. Align developer experience investments with company strategy, product-led growth goals, and the Fusion platform direction. Set success metrics and hold yourself accountable for the outcomes. Make high-stakes bets on where to invest, what to build, and what not to build, using market insight, customer evidence, and technical judgment. Lead AI agent product development Define what a best-in-class AI coding agent looks like for the full range of dbt users. This includes agentic workflows, multi-step task execution, context management, natural language interaction, and guided experiences that meet users where they are. Shape principles for trust, transparency, control, and evaluation in agentic experiences, so users can rely on the agent for real work. Track the fast-moving AI development landscape (Copilot, Cursor, Devin, and beyond) and turn it into a differentiated point of view, not just feature parity. Drive cross-functional execution and influence Partner with the Fusion team to co-define the boundary between platform and product, agree on API contracts, and keep roadmaps coordinated. Lead engineering, design, and GTM teams through a predictable shipping cadence, and keep teams aligned on what matters and why. Influence senior leadership and stakeholders across the company with crisp strategy docs, compelling demos, and clear framing of complex tradeoffs. Mentor other PMs and raise the bar for product craft, rigor, and technical depth across the organization. Stay close to users and the market Build tight feedback loops with the dbt community and enterprise customers, with particular attention to power users and technical practitioners. Use user research and competitive analysis to ground strategy in evidence and bring a sharp external perspective into planning. What Success Looks Like A clear, widely understood developer experience strategy that engineering, design, and leadership are aligned behind. Developer Agent is recognized as a differentiated, well-regarded AI coding product for data practitioners, not just a feature. Developer satisfaction and engagement (activation, session depth, feature adoption) The Fusion partnership runs on shared roadmap visibility, clear contracts, and coordinated launches. The Cloud CLI is a first-class product that developers actively choose. You’re a Good Fit If You Have 8+ years of product management experience , including a track record of owning strategy and roadmap for developer platforms at scale. Direct experience owning developer environment products , with an informed point of view on what makes development tools excellent and where modern IDEs fall short. Hands-on experience with AI agents. You have built, shipped, or led agentic features (multi-step LLM workflows, tool use, context management, evaluation), and you are passionate about the space. You use AI coding assistants daily and have strong, well-reasoned opinions about what works and what doesn’t. A history of leading complex, cross-functional initiatives and influencing without authority, including across platform and product team boundaries. A strong technical foundation: you can reason about system architecture, engage deeply with engineers, and contribute to technical decisions. Experience turning user research and developer feedback into prioritized, well-scoped product work. Excellent written and verbal communication, from crisp specs to executive-level narratives. Comfort working asynchronously on a distributed, remote team. You’ll Have an Edge If You Have Experience building or shipping AI agent products at the frontier, such as agentic UX, evaluation frameworks, or agent orchestration. Hands-on experience with dbt or similar SQL-first transformation frameworks. Familiarity with LSP, tree-sitter, or other IDE infrastructure primitives. Experience with CLI tooling and developer workflow automation. Background in open source or strong engagement with developer communities. Knowledge of modern data warehouses (Snowflake, BigQuery, Databricks, Redshift) and the analytics engineering ecosystem. The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $243,936 — $304,920 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Denver, Colorado, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About the Role AI is changing how data practitioners write, debug, and ship dbt code. As Staff Product Manager for Developer Experience , you will set the strategy for how that change plays out in dbt. You will own the vision, roadmap, and outcomes for the end-to-end developer workflow: the Studio IDE , Developer Agent (our AI coding assistant inside dbt Wizard), the Cloud CLI , and the dbt VS Code Extension . These surfaces are the daily home of tens of thousands of data practitioners, from seasoned analytics engineers to newer practitioners who rely on AI to move faster with confidence. This is a Staff-level role with broad scope and direct influence on company direction. You will be the key partner to the Fusion team , the engine behind dbt’s next-generation compilation and intelligence. You will decide how Fusion’s capabilities become differentiated developer experiences, and you will make sure developer needs shape the Fusion roadmap. The feedback loop between Developer Experience and Fusion is central to how dbt Cloud evolves, and you will be its architect. We are looking for someone who is both strategic and hands-on: a leader who can define where AI-native developer tooling is going, and who is deeply passionate about AI agents and what it takes to build them well. In This Role, You Will Set strategy and own the roadmap Define and own the multi-year vision and roadmap for developer experience across Studio IDE, Developer Agent, Cloud CLI, and the VS Code Extension, and translate it into clear priorities, sequencing, and tradeoffs. Align developer experience investments with company strategy, product-led growth goals, and the Fusion platform direction. Set success metrics and hold yourself accountable for the outcomes. Make high-stakes bets on where to invest, what to build, and what not to build, using market insight, customer evidence, and technical judgment. Lead AI agent product development Define what a best-in-class AI coding agent looks like for the full range of dbt users. This includes agentic workflows, multi-step task execution, context management, natural language interaction, and guided experiences that meet users where they are. Shape principles for trust, transparency, control, and evaluation in agentic experiences, so users can rely on the agent for real work. Track the fast-moving AI development landscape (Copilot, Cursor, Devin, and beyond) and turn it into a differentiated point of view, not just feature parity. Drive cross-functional execution and influence Partner with the Fusion team to co-define the boundary between platform and product, agree on API contracts, and keep roadmaps coordinated. Lead engineering, design, and GTM teams through a predictable shipping cadence, and keep teams aligned on what matters and why. Influence senior leadership and stakeholders across the company with crisp strategy docs, compelling demos, and clear framing of complex tradeoffs. Mentor other PMs and raise the bar for product craft, rigor, and technical depth across the organization. Stay close to users and the market Build tight feedback loops with the dbt community and enterprise customers, with particular attention to power users and technical practitioners. Use user research and competitive analysis to ground strategy in evidence and bring a sharp external perspective into planning. What Success Looks Like A clear, widely understood developer experience strategy that engineering, design, and leadership are aligned behind. Developer Agent is recognized as a differentiated, well-regarded AI coding product for data practitioners, not just a feature. Developer satisfaction and engagement (activation, session depth, feature adoption) The Fusion partnership runs on shared roadmap visibility, clear contracts, and coordinated launches. The Cloud CLI is a first-class product that developers actively choose. You’re a Good Fit If You Have 8+ years of product management experience , including a track record of owning strategy and roadmap for developer platforms at scale. Direct experience owning developer environment products , with an informed point of view on what makes development tools excellent and where modern IDEs fall short. Hands-on experience with AI agents. You have built, shipped, or led agentic features (multi-step LLM workflows, tool use, context management, evaluation), and you are passionate about the space. You use AI coding assistants daily and have strong, well-reasoned opinions about what works and what doesn’t. A history of leading complex, cross-functional initiatives and influencing without authority, including across platform and product team boundaries. A strong technical foundation: you can reason about system architecture, engage deeply with engineers, and contribute to technical decisions. Experience turning user research and developer feedback into prioritized, well-scoped product work. Excellent written and verbal communication, from crisp specs to executive-level narratives. Comfort working asynchronously on a distributed, remote team. You’ll Have an Edge If You Have Experience building or shipping AI agent products at the frontier, such as agentic UX, evaluation frameworks, or agent orchestration. Hands-on experience with dbt or similar SQL-first transformation frameworks. Familiarity with LSP, tree-sitter, or other IDE infrastructure primitives. Experience with CLI tooling and developer workflow automation. Background in open source or strong engagement with developer communities. Knowledge of modern data warehouses (Snowflake, BigQuery, Databricks, Redshift) and the analytics engineering ecosystem. The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Denver Pay Range $226,657 — $283,322 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Worldwide Launch Your Next Successful Chapter with Veta Virtual! 🚀 💸 Competitive Pay in USD  |  🌍 100% Remote (ET or EU Hours)  |  🧭 Chief of Staff + Operations + Executive Support  |  🔄 Contract-to-Hire Veta Virtual is hiring a Chief of Staff & Executive Operations for one of our clients, a senior executive running several businesses and initiatives at once. This individual contributor role blends three jobs: one third chief of staff (priorities, projects, follow-through), one third office manager (systems, tools, processes), and one third executive assistant (calendar and travel). The executive moves fast, doesn't micromanage, and expects proactivity, clear ownership, and results, with plenty of freedom in return. 🔑 Your Role: Priorities, Projects & Follow-Through Own the master list of active projects across the businesses (deadlines, deliverables, owners, next steps), keep the largest initiatives on target, and act as the buffer that protects the executive's time. Chase approvals, answers, and action items before the executive has to ask, and keep following up until they're closed. Review reports and materials headed to the executive (such as financial reports and customer experience dashboards), flag gaps or discrepancies, and coordinate with internal teams and external parties, including a mission-driven nonprofit initiative. Investor & Stakeholder Relations Act as a trusted point of contact for a high-level network (investors, high-net-worth individuals, institutions, senior executives, government officials), speaking with them directly in meetings, by phone, and by email, including when the executive isn't present. Triage messages, draft correspondence on the executive's behalf, and make sure every important external follow-up happens on time. Office Management, Systems & Tools Set up and run the project management system (Notion, Asana, or similar), move work out of Google Sheets, and build dashboards showing where every project and priority stands. Find, test, and roll out new tools, including AI tools, and write simple processes, templates, and checklists so work keeps moving when someone is away. Calendar, Travel & Logistics Manage a fast-changing calendar across multiple time zones, protect time for high-priority work, and prepare the executive for key meetings with agendas, background notes, and concise research. Arrange domestic and international travel (flights, hotels, ground transportation, itineraries), planning far enough ahead that surprises are rare and handling the ones that happen calmly. ✅ What You'll Need: 2+ years as a Chief of Staff, Office Manager, Executive Assistant, Project Manager, or similar role. Capability and dedication matter much more than years. Strong project management and follow-through: you own timelines, flag blockers early, act before being asked, and follow up until it's done. Very tech-savvy and a quick, analytical thinker who keeps pace with a fast-moving executive. How fast you learn new tools matters more than which ones you already know. Curious and nerdy is encouraged. Excellent verbal and written English and a high-energy, personable presence: polished and comfortable talking to anyone, from a new teammate to an investor, senior executive, or government official, including on camera. A calm, adaptable self-starter who is excited by freedom: you handle changes of plan gracefully, don't need step-by-step direction, respectfully push back or follow up with the executive, and welcome genuine constructive feedback. Availability on a consistent Eastern Time or EU schedule (ET preferred), with adjustments planned ahead around the executive's travel. This is not a 24/7, on-call role. Bonus: experience working with investors, high-net-worth individuals, institutions, senior executives, or government officials, or a STEM, finance, or nonprofit/ESG/sustainability background. Bonus: hands-on experience setting up Notion, Asana, or similar with dashboards, building presentations and dashboards with AI tools (deployed on platforms like Lovable or Vercel), and working with distributed teams across time zones (EMEA, NAM/LATAM). To be considered for this role, you must be currently based in Latin America (LATAM) or Europe. 💼 What We Offer: 💸 Competitive compensation in USD, paid consistently every month. 🔄 Contract-to-hire: an initial 1-month period, with strong performers considered for permanent placement. 💻 100% remote on a consistent schedule, with changes planned ahead around travel. 🧭 A direct partnership with a senior executive: real ownership, lots of freedom, and a leader who pushes you to stretch beyond what you thought possible. You report directly to the executive as an individual contributor. 🤝 A supportive culture through Veta Virtual and our client. Ready to Apply? If you're excited to know what comes next before anyone asks, can hold a confident conversation with an investor, and love building a better dashboard or process, apply now and launch your next chapter with Veta Virtual. Your short 2-minute video question is a key part of our screening, so treat it as a first impression: look professional and presentable, speak in clear, confident English, and answer authentically in your own words, without reading from a script or notes. We can't wait to meet you!

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. As a Staff Demo Engineer on the Demo Engineering team, you’ll shape the technical tooling and platform behind 1Password’s go-to-market demo experience. You’ll build scalable demo environments, interactive product experiences, and shared infrastructure that help teams communicate 1Password’s value across the customer journey. Your work will help make secure access simpler and support 1Password’s mission to create a safer, simpler digital future for everyone. How we’re using AI today Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers. This is a remote opportunity within Canada and the US. What we're looking for: - Bring substantial experience in software engineering, cloud engineering, platform engineering, technical marketing, DevOps, solutions architecture, or demo engineering. - Apply experience in cybersecurity, identity, Privileged Access Management (PAM), developer tools, or a related technical domain. - Build full-stack and automation solutions using technologies such as TypeScript, JavaScript, Node.js, React, or Python, with experience designing systems that other engineers can build on. - Design and operate infrastructure using infrastructure as code, continuous integration and continuous delivery (CI/CD), containers, and cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). - Understand identity and access management concepts, including single sign-on (SSO), Security Assertion Markup Language (SAML), OpenID Connect (OIDC), System for Cross-domain Identity Management (SCIM), device trust, passwordless authentication, and passkeys. - Balance speed, reliability, cost, and security while explaining technical tradeoffs clearly to technical and non-technical partners. - Create interactive software-as-a-service (SaaS) demos and guided product experiences using platforms such as Reprise, Navattic, Walnut, or Arcade; experience with mobile device management (MDM) tools such as Jamf, live event demos, utilization analysis, artificial intelligence (AI)-assisted tooling, or Model Context Protocol (MCP) servers is also valuable. What you can expect: - Set the technical vision, roadmap, and long-term architecture for 1Password’s demo platform. - Lead the design of shared demo infrastructure, including templates, automated provisioning and resets, data generation, and observability. - Build sample applications and integrations across 1Password products to support demos and enablement programs. - Support complex, high-visibility demos for flagship launches, keynotes, conferences, and strategic customer opportunities. - Drive AI-assisted tooling that automates demo preparation, validation, and maintenance. - Partner with Engineering Security on demo environments and lead architecture and code reviews. - Mentor Demo Engineers and Senior Demo Engineers while representing Demo Engineering in cross-functional technical decisions and product roadmap discussions. - Travel quarterly, including cross-border travel, for conferences and company offsites. USA-based roles only: The annual base salary for this role is between $135,000 USD and $196,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $129,000 CAD and $179,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: London, England, United Kingdom About Wheely Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts. We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you. About The Role We are looking for a Staff Engineer to join our Platform team that creates the foundation that allows our entire engineering organisation to move fast. This means building shared tooling, managing migrations (including our move from a Ruby monolith), and evolving our infrastructure. This is a senior leadership role for a deeply technical leader who combines strong backend and infrastructure expertise with the ability to build and scale high-performing teams. You will be responsible for the architecture, reliability, and performance of all backend systems powering Wheely’s platform. You will work closely with product, data, and infrastructure leaders to ensure our systems are fast, resilient, and scalable — enabling us to deliver the most reliable and premium ride-hailing experience in the world. Responsibilities Define the technical vision, architecture, and standards across backend systems Ensure system reliability, scalability, and performance at global consumer scale Make high-quality architectural decisions across distributed systems, APIs, and data infrastructure Improve system performance, latency, and fault tolerance Foster a culture of ownership, accountability, and engineering excellence Support domain-based team structures (e.g. pricing, matching, supply engagement) Requirements 10+ years of experience in software engineering, with strong backend expertise Proven track record of designing and operating large-scale distributed systems Deep understanding of backend architecture, infrastructure, and platform concerns High technical judgment and attention to detail Experience in consumer-scale products or marketplaces Background in performance-critical systems (low latency, high availability) What We Offer Office-based role in West London, four days a week with flexible start and finish times, plus one remote day of your choice Salary starting from £160,000 Employee stock options plan Private medical and dental insurance Life and critical illness cover Latest-generation MacBook Pro and 4k display Monthly credit towards Wheely journeys Cycle to Work scheme Professional development stipend Relocation support, including visa sponsorship and allowance All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice

Location: Λευκωσία, Nicosia, Cyprus About Wheely Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts. We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you. About The Role We are looking for a Staff Engineer to join our Platform team that creates the foundation that allows our entire engineering organisation to move fast. This means building shared tooling, managing migrations (including our move from a Ruby monolith), and evolving our infrastructure. This is a senior leadership role for a deeply technical leader who combines strong backend and infrastructure expertise with the ability to build and scale high-performing teams. You will be responsible for the architecture, reliability, and performance of all backend systems powering Wheely’s platform. You will work closely with product, data, and infrastructure leaders to ensure our systems are fast, resilient, and scalable — enabling us to deliver the most reliable and premium ride-hailing experience in the world. Responsibilities Define the technical vision, architecture, and standards across backend systems Ensure system reliability, scalability, and performance at global consumer scale Make high-quality architectural decisions across distributed systems, APIs, and data infrastructure Improve system performance, latency, and fault tolerance Foster a culture of ownership, accountability, and engineering excellence Support domain-based team structures (e.g. pricing, matching, supply engagement) Requirements 10+ years of experience in software engineering, with strong backend expertise Proven track record of designing and operating large-scale distributed systems Deep understanding of backend architecture, infrastructure, and platform concerns High technical judgment and attention to detail Experience in consumer-scale products or marketplaces Background in performance-critical systems (low latency, high availability) What We Offer Office-based role in Nicosia, four days a week with flexible start and finish times, plus one remote day of your choice Competitive salary Employee stock options plan Private medical and dental insurance Daily Lunch allowance Latest-generation MacBook Pro and 4k display Professional development stipend Relocation support, including visa sponsorship and allowance All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice

Location: New York, NY Position: Staff Data Scientist, Via Transportation, Inc. (New York City, NY) - Telecommuting permitted Duties: Apply advanced quantitative and statistical methods to support business model development and product innovation. Develop and implement Bayesian models and stochastic simulations to generate insights and predictions, including analyses of user behavior and system performance. Manage projects end-to-end, including data extraction, cleaning, and preparation; model development and validation; and deployment of analytical solutions. Design and develop proof-of-concept applications, as needed, to operationalize and demonstrate modeling results. Prepare and deliver regular reports and presentations summarizing methodologies, progress, and key findings to stakeholders. Salary: $115,835 to $175,000 Requirements: Master’s degree or higher in Data Science, Computer Science, Systems Engineering, or a closely related quantitative field. Experience completing at least two (2) projects utilizing Bayesian inference, stochastic modeling, or a combination of both, gained in either academic or professional settings. Demonstrated experience developing high-quality functional or object-oriented code, evidenced by approximately 10,000 lines of code written in Python, R, or another programming language suitable for data analytics. Telecommuting permitted. Contact: Sharon Lee, SVP, People Operations Via Transportation, Inc. 114 5th Avenue, 17th Floor New York, NY, 20022 (888) 501-7511 strategic-growth-us@ridewithvia.com Via is an equal opportunity employer.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role A connected Claude is the difference between a general-purpose chatbot and a real coworker. We're building the connected enterprise on three fronts: zero-touch activation, a thriving connector ecosystem, and an enterprise control plane that lets organizations adopt with confidence. We own the path from discovering a connector to using it every day: default and suggested connectors, one-click setup, connector requests, and the identity and admin pieces that remove setup friction for a whole organization at once. You'll be a technical leader who owns activation end to end, from the moment someone sees a connector to their first successful use of it. You'll also help to shape the foundations that help the connector ecosystem grow, and the governance controls that make it safe at enterprise scale. You'll partner closely with product, design and data science, and carry real ownership over what we ship next. What you'll do Own connector activation end to end: measure the funnel from discovery to first use to habit, find the biggest drop-offs, and fix them Build and run experiments on default connectors, in-product suggestions, connector requests and onboarding flows Make setup close to zero-touch, building on open standards like Cross App Access (XAA) and the MCP authorization spec so one approval can turn a connector on for everyone Improve the connectors people reach for most, like Microsoft 365 and Google Workspace, so the first experience works and keeps working Lay platform foundations for the connector ecosystem: reusable building blocks that make every new connector easier to launch, discover and activate Build out the enterprise control plane: admin controls and governance (domain restrictions, labels, permissions) that help security teams say yes faster instead of blocking rollout Partner with product, design, data science and sales to turn usage data and customer feedback into priorities Set technical direction and standards for the team, mentor other engineers, and lead with influence rather than authority Minimum Qualifications Have shipped growth or activation work: onboarding flows, funnels, experimentation, and measuring what actually moves usage Are comfortable with authorization and identity (OAuth 2.0, OIDC, SSO), enough to make setup flows simple without cutting corners Have built on large platform APIs (Microsoft Graph, Google Workspace or similar) and can debug failures on both sides of the boundary Have built platform or ecosystem surfaces that other teams or developers rely on, and care about durable, well-designed APIs Understand what enterprise admins and security teams need from policy, permissions and governance at scale Use data and user research to decide what to build, and can explain the tradeoffs to product and design partners Drive cross-team and cross-company alignment to ship, with influence over authority Preferred Qualifications Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level Contributed to or implemented emerging auth standards (IETF OAuth drafts, MCP authorization) Experience with data governance or information protection (sensitivity labels, DLP) Built admin consoles or policy engines for multi-tenant SaaS Run growth experiments on activation funnels Built AI products or agent tool integrations (MCP) Helped grow a developer or partner ecosystem around a platform The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City Workplace: Remote GLOBAL SYSTEMS INTEGRATOR (GSI) PARTNERSHIPS MANAGER At Sanity.io http://Sanity.io, we’re building the future of AI-powered Content Operations. Our AI Content Operating System gives teams the freedom to model, create and automate content the way their business works. Accelerating digital development and super charging content operations efficiency. Companies like SKIMS, Figma, Riot Games, Anthropic, COMPLEX, Nordstrom and Morningbrew are using Sanity to power and automate their content operations. This role decides which of the world's largest systems integrators (SI), regional SIs and enterprise agencies build their next practice on Sanity. The biggest brands rarely take on AI content operations alone. They bring a GSI or enterprise agency to the table, and your job is to make sure that firm brings Sanity. You'll own the full motion for a focused set of tier-one firms: finding the right practices, earning executive sponsorship, signing the partnership, and getting each firm to its first sourced deal and first delivered project on Sanity. This is the role for someone who wants to build a channel, not inherit one. It's a senior, quota-carrying individual contributor role on the Channel Partnerships team, reporting to the Head of Channel Partnerships. You'll work closely with Sales, Solutions Engineering, Partner Marketing, and Customer Solutions, and you'll be the internal voice of the GSI partner in how we build programs, enablement and co-sell motions, and in how Sanity wins its largest customers. WHAT YOU WOULD DO Recruit tier-one partners - Build and run a target list of GSIs, RSIs and large agencies (e.g. Accenture, Deloitte, Publicis Sapient, Valtech, EPAM, Cognizant, UST), prioritized by fit with Sanity's ICP. - Map each firm's digital experience, commerce, content, and AI practices; find the practice leads, alliance owners, and delivery heads who can make Sanity the AI Content Operating System behind their clients' AI content operations and agentic programs. - Make the case for a Sanity practice: market demand, services revenue opportunity, and why every AI and agent project they deliver needs structured content underneath it. - Negotiate partner agreements, tier placement and joint commitments with Sanity's Partnerships, Legal, and Finance teams. Onboard and activate - Own each new partner from signature to first sourced opportunity and first live implementation, against a defined onboarding plan. - Stand up a joint business plan per partner: target accounts, certification goals, practice build-out, marketing commitments, and quarterly pipeline targets. - Run technical and sales enablement sessions with support from Solution Engineering and Revenue enablement: Sanity platform demos, specialized modules and use case trainings, content operations workshops, selling Sanity overviews, etc. - Build repeatable onboarding playbooks in collaboration with cross-functional teams so the motion scales beyond the first wave of partners. Grow joint pipeline - Run account mapping and co-sell motions with Sanity AEs; set rules of engagement and manage deal registration. - Generate partner-sourced and partner-influenced pipeline against a quarterly target. - Launch joint go-to-market: solution offers, co-hosted events, case studies and campaigns with Partner Marketing. - Lead QBRs with partner executives and report pipeline, activation and practice health to Sanity leadership. Shape the program - Bring GSI feedback into Sanity's partner program, tiering, incentives and product roadmap. - Partner with RevOps to keep partner data clean and measurable in Salesforce and our partner tools. About you - 8+ years in partnerships, alliances or channel at a SaaS company, with 5+ years working directly with GSIs, RSIs, or enterprise agencies - A track record of recruiting tier-one SI partners yourself and turning them into partner-sourced revenue - A network inside the major GSIs and agency holding companies: you know the practice leads, alliance directors, and delivery executives who decide where a firm invests - Fluency in how SIs make money (practice economics, utilization, certifications) and what it takes for a firm to build a practice on a new platform - Experience carrying a partner pipeline or revenue number and co-selling alongside enterprise AEs - Exceptional communication skills: you can make the case for a Sanity practice to a managing director and hold your own with their solution architects - Familiarity with content operations and curiosity about how structured content, AI and agents are changing the work partners deliver for their clients - Comfortable building without a finished playbook. You've stood up partner motions, not only run mature ones - Willingness to travel to partner offices and events (~25-40%) Nice to have - Time spent inside a GSI or large agency - Experience with hyperscaler co-sell motions (AWS, Google Cloud, Microsoft) - Hands-on exposure to AI content workflows or agentic automation in enterprise client delivery - You've worked with partners who build on Sanity, or used Salesforce and Crossbeam to run a partner book WHAT WE CAN OFFER - A highly-skilled, inspiring, and supportive team - Positive, flexible, and trust-based work environment that encourages long-term professional and personal growth - A global, multi-culturally diverse group of colleagues and customers - Comprehensive health plans and perks - A healthy work-life balance that accommodates individual and family needs - Competitive salary and stock options program WHO WE ARE Sanity.io http://Sanity.io is a modern, flexible content operating system that replaces rigid legacy content management systems. One of our big differentiators is treating content as data so that it can be stored in a single source of truth, but seamlessly adapted and personalized for any channel without extra effort. Forward-thinking companies choose Sanity because they can create tailored content authoring experiences, customized workflows, and content models that reflect their business. Sanity recently raised an $85m Series C led by GP Bullhound and is also backed by leading investors like ICONIQ Growth, Threshold Ventures, Heavybit and Shopify, as well as founders of companies like Vercel, WPEngine, Twitter, Mux, Netlify and Heroku. This funding round has put Sanity in a strong position for accelerated growth in the coming years. You can only build a great company with a great culture. Sanity is a 300+ person company with highly committed and ambitious people. We are pioneers, we exist for our customers, we are hel ved, and we love type two fun! Read more about our values here! https://www.sanity.io/blog/our-sanity-values Sanity.io http://Sanity.io pledges to be an organization that reflects the globally diverse audience that our product serves. We believe that in addition to hiring the best talent, a diversity of perspectives, ideas, and cultures leads to the creation of better products and services. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, or gender identity.

Location: Slovenia; Lithuania; Latvia; Colombia; Brazil; Argentina Intetics Inc. , a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Staff Data Scientist / Machine Learning Engineer to join our dynamic team on a full-time basis. Responsibilities: - Design, build, and maintain predictive Lifetime Value (pLTV) models using machine learning techniques such as XGBoost, CatBoost, and probabilistic forecasting methods. - Develop and manage a tiered scoring framework that assigns users to different prediction models based on data availability and signal quality. - Create and optimize calibration frameworks that transform raw model outputs into business-ready values through normalization, scaling, and custom loss optimization strategies. - Own feature engineering processes, building and maintaining scalable feature datasets from transactional, behavioral, and engagement data. - Define and enforce feature quality standards, ensuring model inputs are reliable, relevant, and suitable for production use. - Monitor model performance, drift, and data distribution changes, proactively identifying when retraining or model adjustments are required. - Analyze the impact of deployed models on downstream outcomes and detect feedback loops that may affect future model accuracy. - Develop and improve identity resolution processes to unify behavioral and transactional data across multiple data sources. - Build, test, and maintain production-grade Python services and data pipelines for model training, scoring, and signal delivery. - Implement robust software engineering practices, including automated testing, CI/CD, monitoring, idempotent processing, and deployment safeguards. - Collaborate with data, engineering, and product stakeholders to improve data quality, model effectiveness, and platform scalability. - Operate and optimize ML workflows in cloud environments using orchestration, scheduling, and distributed processing tools. - Ensure the reliability, accuracy, and scalability of machine learning systems that support critical business decision-making and performance optimization. Requirements 5+ years of hands-on ML engineering in Python with production-deployed models (not just Jupyter notebooks). You should be comfortable writing production-grade code, not just prototypes. Experience with gradient boosted trees (XGBoost, CatBoost, or LightGBM) in a production setting, including hyperparameter tuning, feature importance analysis, and model evaluation beyond default metrics. Strong SQL and BigQuery fluency. You will write complex feature engineering queries, scheduled transformations, and data validation logic directly in BigQuery. GCP production experience. Cloud Run, Airflow/Composer, Vertex AI, Pub/Sub. You have deployed and maintained ML workloads on GCP, not just completed certification exercises. Understanding of model calibration. You know the difference between a model that minimizes RMSE and a model that maximizes business value. You have experience with or strong intuition about how prediction errors compound when consumed by a downstream optimization system. Outbound API integration experience. You have pushed model outputs into external systems that act on them (ad platforms, recommendation engines, pricing systems, bidding systems). Strongly Preferred: E-commerce or DTC domain experience. Customer lifetime value, purchase prediction, churn modeling, or customer segmentation for retail or subscription businesses. Familiarity with probabilistic customer models (BG/NBD, Gamma-Gamma, or similar frameworks). If you haven't used these specifically, strong Bayesian statistics foundations are equally valuable. Ad platform signal engineering. Experience with Google Ads API (ConversionUploadService, Enhanced Conversions), Meta Conversions API (CAPI), or similar server-side event dispatch systems. Identity resolution or entity matching. Graph-based identity stitching, probabilistic matching, or CDP-style cross-device identity work. Nice-to-have: Terraform, CI/CD pipeline design, Docker containerization for ML workloads. Experience with causal inference methods, A/B testing in ad spend environments, or multi-armed bandit allocation. Familiarity with agentic development workflows (Claude Code, Cursor, or similar AI-assisted coding tools).

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Every change to Anthropic's software has to reach production somehow: new code, runtime configuration, feature flags, infrastructure changes. Our team builds the systems those changes travel through. Our mission is to give every team at Anthropic a fast, safe, and predictable path from change to production. We sit within Anthropic's Infrastructure organization and own pipelines, staged rollouts, health-gated promotion, and rollback, along with runtime configuration, feature flags, and the systems that deliver code and artifacts to machines across a very large fleet. You'll own a meaningful part of this end to end, from design through operating it in production. If you want your work to shape how fast and how safely Anthropic ships, this could be a great fit. Key responsibilities Set technical direction for major parts of the deployment platform and own them end to end: design, implementation, and operations Build rollout safety into the platform, including progressive delivery, health-gated promotion, automatic pause and rollback, and deploy controls that teams manage themselves Design APIs and abstractions that work equally well for engineers and for AI agents Extend the platform to new workload types and runtimes, from Kubernetes to serverless and edge platforms Build and operate runtime configuration and feature flag systems with validation, gradual rollout, and fast rollback Build infrastructure-as-code workflows that many teams rely on for safe, routine changes Scale artifact distribution so code and configuration reach machines quickly and efficiently Partner with Security so that the path to production is secure by default, with verifiable builds, least-privilege access, and auditable changes Work directly with teams across Anthropic to understand their deployment needs and bring their workloads onto the platform Take part in on-call and incident response, and turn what you learn into guardrails that prevent the same problem from recurring Minimum qualifications Proficiency in at least one backend or systems programming language, such as Rust, Go, C++, or Java Experience leading the design, building, and operation of distributed systems or infrastructure in production, including technical direction across teams Experience with cloud infrastructure and containerized workloads, such as Kubernetes on AWS or GCP Strong written and verbal communication skills Preferred qualifications Experience building deployment, release, or change management systems at large scale Experience with production on-call and incident response Experience with Rust in production Experience with progressive delivery and GitOps tooling, such as Argo CD or Argo Rollouts Deep knowledge of Kubernetes, including controllers and operators Experience with Terraform or other infrastructure-as-code systems at scale, including state management and locking Experience building feature flag, experimentation, or dynamic configuration systems Experience with artifact or package distribution, such as OCI registries, Nix, or content-addressed storage Experience with software supply chain security, such as signed build provenance Experience building high-throughput workflow engines or control planes backed by relational databases Experience building internal developer platforms and leading adoption across many teams Experience using AI agents in your own engineering work, or building systems that agents operate Representative projects Build operator controls for progressive rollouts, including pause and resume that preserve rollout state Design a deployment engine built on fine-grained targets and their dependencies, so each change rolls out exactly where it needs to Build cluster-health-aware rollouts that steer around unhealthy clusters Add a new workload type to the platform, including its rollout, verification, and rollback behavior Design a deployment control plane that handles sharp bursts of agent-driven traffic Design a distribution system that delivers configuration and artifacts to every machine in the fleet as demand grows The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

• Проектировать, писать и выпускать ключевые компоненты платформы: policy engine, signing orchestration, key lifecycle, recovery flows, approvals и audit trails. • Вести перекрёстные технические инициативы через RFC, дизайн‑ревью и код.

Location: Redwood City, CA, United States WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU As a Staff Product Manager for AI Security, you will be the strategic product leader responsible for defining and executing the product vision and roadmap to secure agentic AI capabilities, autonomous workflows, and generative AI integrations across the Box Intelligent Content Management platform. As enterprise AI evolves from single-prompt interactions to multi-agent architectures and autonomous agentic workflows, securing enterprise content against novel AI threats is a top priority for CISOs and security leaders worldwide — and existential to Box's mission. In this high-impact individual contributor role, you will build and scale defense mechanisms for both Box's native agentic capabilities — including Box Agent — and external integrations connecting third-party agents and foundation models via Model Context Protocol (MCP) and enterprise APIs. You will partner closely with world-class AI/ML engineers, security architects, red-team researchers, and corporate security teams to translate the bleeding edge of AI threat intelligence into robust, scalable platform guardrails and enterprise security controls. WHAT YOU'LL DO You will define and execute the product strategy, technical vision, and roadmap for AI Security and Agentic Guardrails across Box AI, Box Shield, and the broader Box platform ecosystem. You will build agent guardrail frameworks and policy engines to monitor, evaluate, and constrain autonomous agent behaviors across Box Agent, custom workflow agents, and external model integrations. You will secure agentic connectivity powered by Model Context Protocol (MCP) and third-party AI APIs, establishing strict authentication, context boundary isolation, dynamic permissioning, and secure tool execution. You will architect multi-layered defenses against advanced AI threats, including direct and indirect prompt injection, jailbreaking, training data extraction, system prompt leakage, and coordinated agentic attack swarms. You will partner with Engineering, Applied AI/ML Research, Security Architecture, and UX Design to deliver low-latency, enterprise-grade AI security controls that preserve developer velocity and user experience. You will drive key business and security efficacy metrics, including guardrail evaluation accuracy, prompt injection prevention rates, MCP integration adoption, and Shield / Enterprise Plus security revenue growth. You will collaborate with Product Marketing, Sales, Customer Success, and Compliance to lead GTM strategy and position Box as the gold standard in safe, trusted Enterprise Agentic AI. You will engage directly with enterprise customers, AI security working groups, and industry analysts to anticipate evolving AI attack vectors, validate product requirements, and guide industry best practices. WHO YOU ARE We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. You have 8+ years of product management experience building and scaling enterprise B2B SaaS security products, cybersecurity platforms, cloud security solutions, or AI/ML infrastructure platforms. You bring deep domain expertise in AI/ML security, LLM application security (e.g., OWASP Top 10 for LLM Applications), prompt injection defense, agentic guardrail frameworks, or model alignment and safety systems. You have a proven track record developing product strategies around agentic architectures, multi-agent coordination, tool-use and function-calling security, or model integration protocols such as Model Context Protocol (MCP). You have a strong understanding of emerging threat vectors targeting autonomous AI systems, including multi-turn adversarial attacks, indirect injection via ingested content, and coordinated agentic attack swarms. You have the technical acumen to partner with AI/ML research and engineering leaders on vector embeddings, semantic evaluation models, LLM latency trade-offs, API gateway security, and zero-trust data access control. You have exceptional analytical capability to define guardrail telemetry, track threat mitigation efficacy, and balance strict safety barriers with responsive AI interactions, along with proven executive presence to influence C-level security leaders and align cross-functional stakeholders. Preferred Skills Experience working with frontier AI/LLM models, prompt evaluation frameworks, red-teaming AI systems, or developing real-time guardrail runtime libraries (e.g., NeMo Guardrails, Llama Guard, or proprietary guardrail pipelines). Hands-on familiarity with MCP (Model Context Protocol), agent orchestration frameworks, or semantic router architectures. Familiarity with enterprise compliance standards, zero-trust architectures, data loss prevention (DLP), or AI governance frameworks (e.g., NIST AI RMF, ISO 42001). Technical background with a Bachelor's or Master's degree in Computer Science, Cybersecurity, Artificial Intelligence, Engineering, or equivalent practical experience. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Redwood City Pay Range $217,000 — $271,000 USD