Вакансии

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. We are seeking a Senior Software Engineer, Data Platform to build and evolve the foundational infrastructure that powers our data platform, lakehouse, and real-time data systems. In this role, you will partner closely with data engineers, ML platform engineers, software engineers, and data scientists to design, develop, and operate the core services and workflows that enable reliable, scalable, and efficient data movement across the organization. As a senior individual contributor, you will own critical parts of the platform end to end - from architecture and implementation to reliability, observability, and operational excellence. You will help shape the technical direction of WHOOP’s data ecosystem, improve developer experience for internal data consumers, and ensure our systems can support analytics, machine learning, and product innovation at scale.This role requires a strong ownership mindset, the ability to operate with minimal guidance, and a focus on delivering production grade systems. You are also expected to actively leverage AI assisted development tools to improve speed, quality, and maintainability, and to help set the standard for effective AI usage across the team. RESPONSIBILITES: - Design, build, and operate the core infrastructure and services that power WHOOP’s data platform, including lakehouse, warehouse, and streaming systems. - Improve the performance, reliability, and cost efficiency of our data systems, including Iceberg, Snowflake, and AWS-based data infrastructure. - Build and enhance internal tooling, APIs, and automation that improve platform usability and developer experience for data engineers, analysts, and data scientists. - Lead platform engineering best practices across CI/CD, infrastructure as code, testing, deployments, and operational readiness. - Strengthen observability and operational excellence through monitoring, alerting, incident response, and continuous improvement of production systems. - Partner cross-functionally with Data Science, Analytics, ML Platform, and Software Engineering teams to support scalable and efficient data workflows. - Drive best practices for data architecture, pipeline design, governance, and platform usage across the company. - Leverage AI tools to accelerate development, improve code quality, and enhance debugging and documentation workflows QUALIFICATIONS: - BS in Computer Science, Engineering, or equivalent experience - 5+ years of experience in data engineering, platform engineering, or software engineering with significant ownership of production data systems. - Strong proficiency in Python and SQL. Java experience is nice to have. - Experience designing and operating scalable data platforms, pipelines, or distributed data systems in production environments. - Hands-on experience with Snowflake and modern cloud data infrastructure. - Experience with AWS services such as S3, EKS, EMR, EC2, or related cloud-native infrastructure. - Experience with orchestration frameworks such as Airflow or Prefect. - Strong understanding of CI/CD, infrastructure as code, and DevOps practices for data platforms. - Ability to independently drive technical projects and own systems end to end with a high degree of autonomy. - Strong communication and collaboration skills, with the ability to work effectively across engineering and data teams. - Commitment to leveraging AI-assisted development tools thoughtfully and effectively, while maintaining a high bar for engineering quality. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $150,000-$215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: San Francisco, CA | New York City, NY | Washington, DC 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 As a Safeguards Enforcement Analyst on the account abuse team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your initial focus will be account compromise: Anthropic's enforcement systems have to distinguish customers whose accounts have been compromised from actors abusing the platform — and today those two populations can look identical in the data. Stolen credentials and leaked keys are a growing abuse vector, and the collateral damage from enforcement against them lands on legitimate users. You'll own this problem end to end: detection, revocation, user notification, remediation, and the criteria for restoring access — turning what is today ad hoc incident response into a scalable, repeatable program. This position may expand into broader areas of enforcement over time. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Key responsibilities Investigate credential-compromise incidents across first-party and third-party platforms, tracing actor behavior across accounts and surfaces Design and operate remediation workflows for compromised accounts: revocation, customer notification, and standards for restoring access Partner with Engineering and Data Science teams to improve how we separate compromised-customer traffic from willful abuse Enforce usage policies with a focus on detecting and mitigating potentially harmful use of AI systems Work with threat intelligence on emerging credential-abuse patterns and the actors behind them Support the Safeguards policy design team by providing detailed feedback on policy gaps based on real enforcement scenarios Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision-making and workflows Write the policy framework for compromise scenarios, including cases where Anthropic can't independently verify a customer's security posture Act as the enforcement SME when account compromise intersects with active abuse investigations Minimum qualifications Experience in trust and safety, fraud investigation, security operations, or a related field Subject matter expertise in one or more of: account takeover, credential abuse, session security, or incident response Experience designing or operating enforcement, remediation, or customer-recovery flows — not just detection Comfort using data (SQL or similar tools) to trace actor behavior across accounts and to measure what's working A thoughtful perspective on the tension between protecting the platform and restoring access for legitimate compromised customers Strong written communication skills, with experience producing clear briefs about messy incidents for technical and non-technical stakeholders Excellent judgment and the ability to collaborate with team members while navigating rapidly evolving priorities and workstreams Preferred qualifications Familiarity with credential-theft ecosystems or threat intelligence tooling Experience working with fraud/risk vendors (e.g., device or network intelligence platforms) Experience with API platform abuse specifically, not just consumer-account ATO A deep interest in AI safety and responsible technology development Experience writing effective prompts for generative AI systems in a content review or enforcement context 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: $245,000 — $285,000 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. 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: San Jose, California or Remote Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: San Jose, CA or Hybrid (with remote support to Hong Kong) Annual Salary: USD 130,000 - USD 160,000 Final base salary within this range will be determined based on job-related factors, including the candidate’s experience, skills, qualifications, and geographic location. Type: Full-time Reports to: (Interim) Director, IT About the Role We are looking for a dedicated and detail-oriented IT Operations Specialist to run day-to-day IT operations at Nex. Based in our San Jose office (hybrid), you’ll own device lifecycle management, workspace networking, and access provisioning, while also providing remote support to our Hong Kong office. You will play a critical part in keeping employees productive, secure, and equipped with reliable technology as we scale. The ideal candidate is a proactive, service-oriented problem solver who can own IT operations workstreams end-to-end and execute independently, while coordinating with a global team across time zones. This role partners closely with our Information Security team on security-related operations. If you bring broader experience in IT strategy, procurement, or infrastructure, we’d love to hear about it — there’s room to grow the scope of this role over time. What You'll Do IT Operations Own device procurement, provisioning, maintenance, troubleshooting, resets, and redeployment across the corporate device fleet Administer IT access provisioning and security for less-sensitive systems (e.g., maintaining admin lists, standard user access) Maintain corporate device information security, including anti-virus and endpoint protection tools Administer corporate workspace IT and networking infrastructure — Wi-Fi, server room equipment, and videoconferencing — for the San Jose office Provide remote support for Hong Kong office networking and videoconferencing systems Respond to day-to-day employee IT support requests (helpdesk tickets) with speed and clarity Strategy & Cross-Functional Support Ownership and maintenance of internal IT-owned systems and infrastructure for shared use by multiple functional groups Support on business applications and systems procurement, contract negotiation and budget management Support delivery of employee IT security training (e.g., anti-phishing awareness) in coordination with InfoSec Provide input on device management strategy (e.g., MDM/MAID tooling) based on day-today operational experience Assist with vendor coordination and support tickets for outsourced IT operations, as directed Who You Are Required Qualifications 2–5 years of experience in IT support, IT operations, or systems administration Hands-on experience with device management (e.g., MDM tools such as Jamf, Intune, or similar) Working knowledge of corporate account and productivity platforms (e.g., Google Workspace admin console) Familiarity with core networking concepts (Wi-Fi, VPN, firewalls) and videoconferencing hardware/software (e.g., Zoom Rooms) Experience with endpoint security tools (anti-virus/EDR) and basic access-control administration (e.g., 2FA) Strong troubleshooting skills and a service-oriented approach to internal IT support Ability to work independently while coordinating with colleagues across time zones (Hong Kong, U.S. and Europe) Preferred Qualifications Exposure to device management strategy (e.g., MDM/MAID tooling selection and roadmap) or corporate account strategy (e.g., Google Workspace), balancing security with operational efficiency Exposure to access provisioning and security strategy for more sensitive systems (e.g., contributing to 2FA/MFA policy, not just administering standard access) Exposure to business application procurement, contract negotiation, or vendor management Exposure to ownership of shared infrastructure (e.g., cloud systems, data lake) across multiple teams Exposure to ownership of customer-facing systems (e.g., Shopify, corporate websites) Experience supporting a hybrid or multi-office environment Experience in consumer tech, gaming, or hardware companies #LI-Hybrid We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level and live longer through a deeper understanding of their bodies and daily lives. We are seeking an Associate Director, Core Algorithms (Cloud) to lead the teams responsible for WHOOP's cloud-based algorithmic intelligence — the models and systems that transform physiological data into the sleep, recovery, and training insights our members rely on daily. This role is also responsible for ensuring our cloud algorithms evolve alongside WHOOP hardware, partnering with Sensor Intelligence and Hardware teams to translate new sensor capabilities into production-grade algorithmic experiences. You will own the technical vision, execution, and organizational health of this team. You'll drive the evolution of our core production algorithms such as workout detection, strain, and sleep staging toward higher accuracy, better member experiences, and more mature development practices. You will partner closely with ML Platform, Sensor Intelligence, Research, Product, and Software Engineering to define what WHOOP algorithms can enable — not just how they perform technically, but how they show up for members. This is a role for someone who has built and shipped physiological ML at scale in a consumer product, who has a deep product instinct for what algorithms mean to end users, and who knows how to elevate an ML organization's practices: raising the bar on tooling, processes, and standards to match the ambition of the work. RESPONSIBILITIES - Lead the cloud ML team responsible for the algorithms powering sleep, recovery, and training - Directly manage applied ML scientists and ML engineers; provide coaching, career development, and performance feedback that grows individual contributors into strong technical leaders - Ensure the technical quality bar for algorithm development is maintained by establishing the processes, reviews, and standards that guarantee rigor from research through deployment, and diving into designs and architectural decisions where necessary - Help drive the vision for what WHOOP algorithms and next-generation sensors can enable; advocate for member experience and push the boundaries of what our data makes possible - Ensure cloud algorithms remain compatible with future hardware generations; partner with Sensor Intelligence and Hardware to evolve proof-of-concept algorithms that leverage new sensor capabilities and bring them to production readiness - Establish and improve development lifecycle practices: experiment management, model validation, deployment pipelines, and production monitoring - Partner with ML Platform / MLOps to define requirements and drive maturity improvements across experiment tracking, model monitoring, deployment automation, and observability - Drive cross-functional alignment with Sensor Intelligence, Product, Software Engineering, and Research teams QUALIFICATIONS - 8+ years of experience in machine learning or applied data science, with hands-on experience developing and shipping ML models for a consumer product - 4+ years of people leadership experience directly managing machine learning scientists/engineers, with demonstrated growth of team members and a track record of building high-performing teams - Experience scaling a production ML organization: growing teams and leaders, identifying gaps in the development lifecycle, and driving improvements that increase velocity, reliability, and rigor - Deep product sense: ability to think about algorithms from the member's perspective, drive the vision for what algorithms can enable, and ensure the team is building toward meaningful user outcomes - Ability to evaluate technical designs, guide architectural decisions, and ensure quality at the system level, without needing to write code day-to-day - Experience defining and driving cross-functional programs with engineering, product, and science partners - Strong communication skills with the ability to translate complex ML concepts to diverse audiences including product, engineering, and executive stakeholders PREFERRED - Experience building algorithms using physiological or wearable sensor data (e.g., PPG, accelerometer, temperature, bioimpedance) - Experience managing through hardware-coupled development timelines where sensor availability and device generations constrain algorithm roadmaps - Familiarity with time-series modeling, sequential data, and the specific challenges of continuous physiological monitoring This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.    Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $200,000-$245,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: London, UK Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. About this role:   We're looking for a Full Stack Developer (main back end focus) to work on our advertising analytics platform. We gather and process BIG amounts of data and deliver meaningful insights to our customers. We have browser extensions, databases, panelists, servers, so many servers, and a great hybrid culture with coworkers locally and across the globe.   There's a good mix of extremely difficult problems, impossible problems, easy problems, bugs, performance issues, and the occasional thing that's a joy to work on – join us!   What you will do in a typical day: - Tackle interesting performance and scalability challenges. - Meticulously refactor bunches of reports decimating code size and run time while preserving results. - Intelligently manage tech debt while simultaneously delivering new features for the business. - Code in SQL and C# (and occasionally js) in a mixed environment (Windows and Linux but mostly Windows) utilizing AWS, SQL Server, Redshift, Mongo, EntityFramework and ASP.NET http://asp.net/ Core. - Participate in a Kanban/Devops dev process with fluid requirements, weekly scrums, and potentially be on-call w/Pagerduty - Be a proponent for continuous improvement, architecture, clean code, and good systems design - We use Github for source control and Jira for project management - We review PRs! (usually) and ship often. What you can bring: - Experienced C# developer. - Be able to code in C#, SQL and occasionally in Ruby. - Big Plus: Comfortable reading and modifying Javascript/React. - Friendly - You will be working in cross function with a lot of cool people! - Love for data - Our platform provides data intelligence for the digital economy! Our Engineering Culture We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values:   - Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys." - Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping. - Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids. - Prioritization: We focus relentlessly on what is important, not just what is urgent.   Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/speeding-up-the-backend-with-graph-theory   https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Krakow, Poland Workplace: Remote Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. About this role:   We're looking for a Full Stack Developer (main back end focus) to work on our advertising analytics platform. We gather and process BIG amounts of data and deliver meaningful insights to our customers. We have browser extensions, databases, panelists, servers, so many servers, and a great hybrid culture with coworkers locally and across the globe.   There's a good mix of extremely difficult problems, impossible problems, easy problems, bugs, performance issues, and the occasional thing that's a joy to work on – join us!   What you will do in a typical day: - Tackle interesting performance and scalability challenges. - Meticulously refactor bunches of reports decimating code size and run time while preserving results. - Intelligently manage tech debt while simultaneously delivering new features for the business. - Code in SQL and C# (and occasionally js) in a mixed environment (Windows and Linux but mostly Windows) utilizing AWS, SQL Server, Redshift, Mongo, EntityFramework and ASP.NET http://asp.net/ Core. - Participate in a Kanban/Devops dev process with fluid requirements, weekly scrums, and potentially be on-call w/Pagerduty - Be a proponent for continuous improvement, architecture, clean code, and good systems design - We use Github for source control and Jira for project management - We review PRs! (usually) and ship often. What you can bring: - Experienced C# developer. - Be able to code in C#, SQL and occasionally in Ruby. - Big Plus: Comfortable reading and modifying Javascript/React. - Friendly - You will be working in cross function with a lot of cool people! - Love for data - Our platform provides data intelligence for the digital economy! Our Engineering Culture We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values:   - Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys." - Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping. - Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids. - Prioritization: We focus relentlessly on what is important, not just what is urgent.   Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/speeding-up-the-backend-with-graph-theory   https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Warsaw, Poland Workplace: Remote Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. About this role:   We're looking for a Full Stack Developer (main back end focus) to work on our advertising analytics platform. We gather and process BIG amounts of data and deliver meaningful insights to our customers. We have browser extensions, databases, panelists, servers, so many servers, and a great hybrid culture with coworkers locally and across the globe.   There's a good mix of extremely difficult problems, impossible problems, easy problems, bugs, performance issues, and the occasional thing that's a joy to work on – join us!   What you will do in a typical day: - Tackle interesting performance and scalability challenges. - Meticulously refactor bunches of reports decimating code size and run time while preserving results. - Intelligently manage tech debt while simultaneously delivering new features for the business. - Code in SQL and C# (and occasionally js) in a mixed environment (Windows and Linux but mostly Windows) utilizing AWS, SQL Server, Redshift, Mongo, EntityFramework and ASP.NET http://asp.net/ Core. - Participate in a Kanban/Devops dev process with fluid requirements, weekly scrums, and potentially be on-call w/Pagerduty - Be a proponent for continuous improvement, architecture, clean code, and good systems design - We use Github for source control and Jira for project management - We review PRs! (usually) and ship often. What you can bring: - Experienced C# developer. - Be able to code in C#, SQL and occasionally in Ruby. - Big Plus: Comfortable reading and modifying Javascript/React. - Friendly - You will be working in cross function with a lot of cool people! - Love for data - Our platform provides data intelligence for the digital economy! Our Engineering Culture We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values:   - Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys." - Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping. - Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids. - Prioritization: We focus relentlessly on what is important, not just what is urgent.   Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/speeding-up-the-backend-with-graph-theory   https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Lisbon, Portugal Workplace: Remote Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. About this role:   We're looking for a Full Stack Developer (main back end focus) to work on our advertising analytics platform. We gather and process BIG amounts of data and deliver meaningful insights to our customers. We have browser extensions, databases, panelists, servers, so many servers, and a great hybrid culture with coworkers locally and across the globe.   There's a good mix of extremely difficult problems, impossible problems, easy problems, bugs, performance issues, and the occasional thing that's a joy to work on – join us!   What you will do in a typical day: - Tackle interesting performance and scalability challenges. - Meticulously refactor bunches of reports decimating code size and run time while preserving results. - Intelligently manage tech debt while simultaneously delivering new features for the business. - Code in SQL and C# (and occasionally js) in a mixed environment (Windows and Linux but mostly Windows) utilizing AWS, SQL Server, Redshift, Mongo, EntityFramework and ASP.NET http://asp.net/ Core. - Participate in a Kanban/Devops dev process with fluid requirements, weekly scrums, and potentially be on-call w/Pagerduty - Be a proponent for continuous improvement, architecture, clean code, and good systems design - We use Github for source control and Jira for project management - We review PRs! (usually) and ship often. What you can bring: - Experienced C# developer. - Be able to code in C#, SQL and occasionally in Ruby. - Big Plus: Comfortable reading and modifying Javascript/React. - Friendly - You will be working in cross function with a lot of cool people! - Love for data - Our platform provides data intelligence for the digital economy! Our Engineering Culture We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values:   - Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys." - Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping. - Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids. - Prioritization: We focus relentlessly on what is important, not just what is urgent.   Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/speeding-up-the-backend-with-graph-theory   https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Paris Workplace: OnSite ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 1000+ employees, 8 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps like BeReal and Wizz.   TEAM Our Growth team is a transversal entity aiming to maximize and deliver the potential of any mobile product. It combines user acquisition, creative content production, monetization, and the tech capabilities required to turn applications into global hits. With over 150 experts, we operate at the forefront of mobile marketing and ad tech across various types of games and consumer apps.   ROLE Voodoo is looking for a Playable Ads Chapter Lead to sit in the Central Growth Team. In this role, you'll lead key initiatives developed by our playable ads team, while staying hands-on with production and driving innovation in our playable ad formats across games.   KEY TASKS - Lead and coach a team of playable ads developers/strategists embedded within franchise-dedicated squads, ensuring high autonomy and strong performance - Stay hands-on with playable ad production, contributing directly to the creation and iteration of high-quality playable creatives - Oversee operational topics for the playable team, including workflows, tooling, and best practices - Drive innovation in playable ad formats, constantly exploring new mechanics, interactions, and creative concepts to stay ahead of market trends - Collaborate closely with the Growth Manager and creative strategists to align on priorities and franchise-level objectives - Benchmark competitor playable ads and analyze performance data to improve production quality and effectiveness - Act as a technical and/or strategic reference for the team, providing guidance on both development and marketing performance topics - Support the rollout of playable ads across multiple game franchises, adapting formats to each title's creative strategy - Contribute to defining and evolving the playable ads chapter's vision, standards, and processes PROFILE - 4+ years of experience in playable ad or game development - Hands-on, maker mindset - you're comfortable getting into production yourself while also stepping back to coordinate - Experience with relevant playable ads development tools or frameworks Unity (Luna), Cocos Creator or other relevant platforms - Knowledge of object-oriented programming and web game development - Hands-on experience with AI-assisted development (Claude Code, Codex, Cursor) and asset generation (Scenario, Flux, ElevenLabs) - Solid understanding of mobile marketing performance metrics and creative testing - Proven ability to mentor and coach peers - You have entrepreneurial mindset and can adapt to a high-paced environment - You can demonstrate excellent teamwork and collaboration skills - You are fluent in English (fluency in French is a plus)   BENEFITS - Competitive salary upon experience - Swile restaurant lunch voucher - Gymlib sports subscription (100% taken in charge by us) - Sidecare healthcare coverage for your family - Child day care facilities (Les Petits Chaperons rouge) - Wellness activities in our Paris office - Full stack desk and computer equipment upon your request - Cooperate within a globally diverse team and a rich cross-cultural work environment

Location: San Francisco, CA | New York City, NY | Washington, DC 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 As a Safeguards Enforcement Analyst on the user well-being team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your initial focus will be on how Anthropic handles age. A core part of this work is making sure our consumer products reach the right audiences, including the detection signals, verification paths, and appeals workflows that keep underage users off surfaces not designed for them. Claude also reaches younger users through third-party developers building on our API, and you'll be the enforcement partner that sales and platform teams rely on when those customers need guidance on deploying age-appropriately. This position may expand into broader areas of user well-being enforcement over time. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams. Key responsibilities Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy Partner with Engineering and Data Science teams to optimize detection models for policy violations and automated enforcement systems Review flagged content to drive enforcement and policy improvements Enforce usage policies with a focus on detecting and mitigating potential harmful use of AI systems Work with Legal, Public Policy, and Privacy stakeholders to keep our age assurance approach proportionate, privacy-preserving, and responsive to an evolving regulatory landscape Support the Safeguards policy design team by providing detailed feedback on policy gaps based on real enforcement scenarios Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision-making and workflows Responsible for Anthropic's layered age assurance approach - self-declaration, behavioral signals, verification, and ban appeals - to keep our first-party consumer products safe Adjacent user well-being enforcement where age is a key factor in how policy is applied such as sexual content and illicit substances Minimum qualifications Experience in trust and safety, online child safety, age assurance, privacy, product policy, or a related field Subject matter expertise in one or more of: age assurance or age verification systems, age-appropriate design, child online safety, privacy-preserving verification methods, or content classification for young people Experience driving cross-functional initiatives with Product, Engineering, Legal, and Policy partners — especially where safety, privacy, and usability tradeoffs need to be navigated together Experience navigating evolving regulatory landscapes and enforcement best practices with regards to age assurance (including frameworks like the UK AADC, COPPA, and the DSA), CSAM/CSEM, NCII, and digital well-being A thoughtful perspective on the privacy/safety tradeoffs inherent in age verification — including when less invasive approaches are the right call Strong written communication skills, with experience producing clear briefs and recommendations for technical and non-technical stakeholders Comfort using data (SQL or similar tools) to measure what's working and inform decisions Excellent judgment and the ability to collaborate with team members while navigating rapidly evolving priorities and workstreams Preferred qualifications Experience building or operating age-gating flows, age estimation signals, underage account detection, or appeals workflows Experience advising or partnering with third-party platforms on deploying safely to younger users Experience working with or evaluating third-party age verification providers A deep interest in AI safety and responsible technology development Experience writing effective prompts for generative AI systems in a content review or enforcement context 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: $245,000 — $285,000 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. 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: US - Remote; San Francisco, CA; New York, NY; Atlanta, GA Workplace: Remote ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. ABOUT THE RETAIL TEAM - Sierra is partnering with a large and growing number of retailers - spanning apparel and beauty, grocery and big-box, home and auto, consumer services, marketplaces, and consumer technology. Our agents help millions of shoppers and members every day: tracking and returning orders, finding the right product, booking services, and resolving issues in each brand’s own voice. - Retail is also where AI agents go beyond support to generate revenue. From product discovery and personalized recommendations to cart recovery, win-back campaigns, and in-store support that turns unanswered store calls into visits and sales, our team is redefining what an agent can do for a brand’s top line - not just its cost line. - Join us to transform how the world’s most-loved consumer brands engage their customers - and help build technology that makes shopping more personal, effortless, and delightful for everyone. WHAT YOU'LL DO - Lead & develop a high-performing sales team: Hire, onboard, and develop AEs across your region, Coach reps on deal strategy, pipeline management, and execution. Create a culture of accountability, learning, and collaboration. Identify and grow future leaders on your team. - Own regional performance: Own your regional number and forecast accuracy, Inspect pipeline quality and help unblock stalled deals. Drive consistent execution of our sales process. Partner with RevOps to ensure clean data and clear insights. - Be deeply involved in deals: Join key customer and prospect conversations. Help reps navigate complex buying committees and late-stage deals. Support pricing, negotiation, and close strategy. WHAT YOU'LL BRING - 10-15+ years of experience: Extensive experience in enterprise customer-facing sales role, identifying and closing large accounts. - People leadership experience: 5+ years managing, mentoring, and developing a high-performing enterprise sales team. - Enterprise experience: You've run and managed end-to-end complex deals ($1M+). - Strong communication skills: Exceptional verbal and written communication abilities. - Analytical mindset: Ability to analyze market trends, identify opportunities, and make data-driven decisions. EVEN BETTER... - Industry knowledge: Familiarity with the AI landscape, key players, and emerging trends, as well as fluency with AI tooling and workflows. - Experience building GTM strategies: Building sales teams and sales motions from scratch, or from early stage growth. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: US - Remote; San Francisco, CA; New York, NY; Atlanta, GA Workplace: Remote ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. ABOUT THE RETAIL TEAM - Sierra is partnering with a large and growing number of retailers - spanning apparel and beauty, grocery and big-box, home and auto, consumer services, marketplaces, and consumer technology. Our agents help millions of shoppers and members every day: tracking and returning orders, finding the right product, booking services, and resolving issues in each brand’s own voice. - Retail is also where AI agents go beyond support to generate revenue. From product discovery and personalized recommendations to cart recovery, win-back campaigns, and in-store support that turns unanswered store calls into visits and sales, our team is redefining what an agent can do for a brand’s top line - not just its cost line. - Join us to transform how the world’s most-loved consumer brands engage their customers - and help build technology that makes shopping more personal, effortless, and delightful for everyone. WHAT YOU'LL DO - Independently drive complex enterprise deals end-to-end: Manage a broad enterprise book with strong autonomy, leading 6- and 7-figure deal cycles from prospecting to close. - Multi-thread to the C-suite: Lead VP-level conversations, build durable C-suite relationships across customer orgs, and earn credibility quickly with new stakeholders. - Manage risk proactively: Identify and manage deal risk early; build rigorous stakeholder maps for your accounts. - Make the hard calls: Partner with your manager (and, at the senior level, operate more independently) on pricing, escalation timing, exec alignment, and deal strategy — coming to the table with a point of view, not just a problem. - Leverage leadership & co-founders: Bring in Sierra's co-founders effectively for exec engagement when it moves a deal. - Raise the bar: Act as a visible, steady leader on deal teams; proactively elevate the team's standard without being asked. - Operate as an AI-native seller: Leverage AI tools across the full sales cycle- account research, personalized outreach, call summarization, pipeline forecasting, and deal execution- to automate low-value tasks and reinvest that time into high-value customer relationships, while continuously adopting and experimenting with new tools to work faster and smarter than traditional methods allow. WHAT YOU'LL BRING - 8- 10 years of enterprise customer-facing sales experience, identifying and closing large accounts. - Experience managing a $1M+ quota and running end-to-end complex 6- and 7-figure ACV deals. - Proven ability to multi-thread and build trusted relationships across customer C-suites. - Exceptional verbal and written communication. - Analytical mindset - you analyze market trends, spot opportunities, and make data-driven decisions. EVEN BETTER... - Familiarity with the AI landscape, key players, and emerging trends. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Tokyo, Japan Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. As the Team Director, Account Management for Japan, you will play a pivotal role in driving the growth and success of Sensor Tower in the dynamic Japan market. You will be responsible for overseeing all aspects of our Account Management operations in Japan, including revenue expansion, client management, strategic planning, and team leadership. The ideal candidate is a seasoned professional with a strong background in sales, business development, and leadership, with a passion for driving growth and delivering exceptional results.   Key Responsibilities: - Manage a team of Account Directors focusing on renewals, upsells, and Net Revenue Retention (NRR) growth. - Communication of strategic plans to account teams, and oversee the implementation and execution of those plans. - Interface with and supports Sensor Tower Account Directors, Sales, Finance, Marketing, Operations and Executive teams. - Identify and resolve issues/problems encountered by our customers acting as an Executive Sponsor on high profile or Strategic account - Conducting regular Business Reviews to ensure our plan is aligned with customer business objectives and strategies. - Design and maintain reports used in sales analysis. - Conduct C-level discussions with clients to strategize and address their use cases with our platform. - Bridge the gap between product teams and customers, effectively managing expectations on feature requests and releases. - Identify product penetration, renewal, and upsell opportunities within your customer base. - Deliver training, analytics, insights, and best practices to Account Director teams under your management Experience we are looking for:   - 8+ years of experience in Key Account Management, selling complex solutions. - 3+ years experience managing sales teams that support enterprise & strategic accounts. - Proven track record of success in sales, business development, and leadership roles, preferably in the SaaS or technology industry. - Demonstrated ability to lead and inspire teams, drive performance, and foster a culture of collaboration and accountability. - Highly organized with the ability to track and coordinate a wide series of tasks. - Deep understanding of the Japanese market, including cultural nuances, business practices, and regulatory environment. Fluent in both English and Japanese (written and spoken). Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Paris; London Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role As an AI Scientist, you will push the boundaries of AI by developing and scaling cutting-edge models. This role exists to advance Mistral’s mission of democratizing frontier intelligence, enabling businesses and consumers to benefit from open, high-impact AI systems. You will collaborate with a global, cross-functional team to design, build, and deploy models that solve real-world problems across reasoning, code, and multimodal applications. Your work will directly shape how AI integrates into daily life and enterprise operations. WHAT YOU WILL DO - Research and develop novel methods to advance the capabilities of LLMs. - Design and implement tooling and infrastructure for training, evaluating, and analysing AI models at scale. - Collaborate with scientists, engineers, and product teams to ship AI systems with tangible impact. - Explore and innovate across use cases such as reasoning, code generation, and agent-based systems. - Work with multimodal data, including text, image, and speech, to expand model capabilities. - Optimise distributed systems to improve the efficiency and scalability of model training. - Contribute to the open-source community by releasing frontier models for public use. WHAT WE'RE LOOKING FOR - A track record of contributing to relevant scientific domains, such as publications or open-source projects. - Hands-on experience with AI frameworks like PyTorch or JAX, or distributed systems such as Ray or Kubernetes. - Proficiency in at least one programming language, such as Python, Rust, Go, or Java. - Ability to design complex software systems and transition them into production environments. - Experience with training large transformer models in a distributed setting. - Familiarity with the full MLOps stack, including fine-tuning, evaluation, and deployment. - A self-starter mindset with the autonomy to drive projects forward and collaborate effectively in a team. - Strong engineering competence, with a focus on building scalable and reliable systems. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Palo Alto; New York; San Francisco Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role   Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.   The Applied AI Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations.    In this role, you’ll manage daily customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalising our research in production settings.   What You Will Do   • You’ll be responsible for onboarding customers on our products and APIs, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces.  • You’ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.  • You’ll individually help deploy into production use cases with a considerable business impact across various industries.  • You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open source codebases for tasks such as inference and fine-tuning. • You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders.  • Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback     What We're Looking For   • You are fluent in English • You hold a PhD / master in AI / data science. • You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products • You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases • You have deep understanding of concepts and algorithms underlying machine learning and LLMs • You're experienced with building and deploying LLMs or NLP applications • You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces. • You have strong technical coding skills in Python • You have experience with deep learning with Pytorch • You have experience with agents framework such as Langchain, vector DBs • You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences   Ideally you have:   • Contributed to open-source projects in particular in the space of LLMs • Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager     WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Ciudad de México, Mexico Workplace: on-site The Communications Manager is responsible for bringing the NovaFin brand to life across all owned and earned channels. This role ensures that the company's brand, voice, and messaging are executed consistently and effectively throughout the customer journey, from initial awareness through customer advocacy. Working closely with senior leadership and future brand leadership, the Communications Manager will oversee content creation, social media, public relations, creative production, and brand governance. This is a highly execution-focused role responsible for turning brand strategy into high-quality, market-facing communications that strengthen customer trust, engagement, and brand recognition. Brand Execution & Governance Ensure consistent application of NovaFin's brand identity, voice, tone, and messaging across all customer-facing communications. Maintain and update brand guidelines and communication standards. Serve as the primary guardian of brand consistency across marketing, customer communications, product messaging, and sales support materials. Review and provide guidance on materials developed by internal teams and external partners to ensure alignment with brand standards. Content & Owned Channels Own and manage NovaFin's organic social media presence, including content planning, copy development, publishing, and community engagement. Oversee the company's blog, content hub, and other owned communication channels. Develop content that supports brand awareness, customer education, trust-building, and engagement. Maintain a consistent content calendar and publishing cadence across channels. Public Relations & External Communications Develop and manage media relations and external communication initiatives. Prepare press releases, media kits, corporate announcements, and executive communications. Coordinate spokesperson preparation and support media opportunities. Monitor media coverage and ensure brand messaging is accurately represented. Creative Production Management Develop creative briefs and manage the production of marketing and communication assets. Coordinate internal designers, agencies, freelancers, and production partners to ensure projects are delivered on time and on brand. Review and approve creative output to ensure quality and consistency. Vendor & Agency Management Manage relationships with creative agencies, freelancers, public relations firms, and external production vendors. Oversee project timelines, budgets, deliverables, and quality standards. Evaluate vendor performance and identify opportunities for improvement. Community Engagement & Brand Advocacy Manage community interactions across owned social platforms. Monitor customer feedback and identify opportunities to strengthen brand perception. Support initiatives that encourage customer advocacy and positive brand engagement. Reporting & Performance Monitoring Track and report on content, social media, public relations, and brand engagement performance. Monitor brand sentiment, media coverage, engagement metrics, and share of voice. Provide recommendations to improve communication effectiveness and audience engagement. Qualifications Bachelor's degree in Communications, Marketing, Public Relations, Journalism, Business Administration, or a related field. 5–8 years of experience in communications, content marketing, public relations, social media management, or brand communications. Experience managing agencies, freelancers, and creative production workflows. Experience within fintech, financial services, consumer lending, or technology environments is preferred. Strong understanding of content development, public relations, social media management, and brand governance. Knowledge & Skills Exceptional written and verbal communication skills in English and Spanish. Strong editorial judgment and storytelling capabilities. Experience developing and managing content calendars and communication plans. Strong project management and organizational skills. Ability to manage multiple stakeholders and competing priorities. Experience coordinating creative production across internal and external resources. Strong attention to detail and commitment to brand consistency. Ability to thrive in a fast-paced, high-growth environment.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Senior Software Serviceability Engineer to own the software and AI dimension of serviceability for our humanoid robots. Product Services Engineering makes sure the robot is designed to be maintained — and that when it needs service, it can be diagnosed and repaired quickly, safely, and at low skill in the field. You will own that mission for everything software: diagnostics, firmware and bootloader serviceability, and the diagnostic content behind our remote-diagnostics (Digital Shadow) platform. This is a deeply technical, hands-on role. You will validate the software and AI dimension of every service procedure before it reaches production, build the diagnostic tooling that lets our Remote Services and Repair Centre teams find faults fast, and act as part of the single engineering interface between Services and R&D. WHAT YOU’LL DO: - Own Design-for-Serviceability for software: ensure the robot’s software, firmware, and AI stack can be diagnosed, updated, and recovered in the field with minimal skill. - Collaborate with R&D to build and validate diagnostic scripts, tooling, and self-test routines that localise faults as deep as possible in the BOM. - Define and own the software diagnostic content in the Digital Shadow platform: remote diagnostics, fleet-pattern detection, and AR-guided execution. - Validate the software and AI dimension of service, repair, calibration and OTA procedures before production release. - Own firmware, bootloader, and calibration serviceability, including recovery paths for failed updates. - Support New Services Introduction (NSI) for software, and act as the single point of entry from Services into R&D for software escalations. WE’RE LOOKING FOR: - Strong software engineering for robotics or embedded systems: ROS2, Bash, and Ubuntu/Linux, with bootloader/firmware workflows. - Proficiency in Python (and ideally C++) for diagnostics, tooling, and automation. - Hands-on experience diagnosing robots or complex electromechanical systems — you can tell whether a fault is software, firmware, calibration, or hardware. - Working understanding of sensor and actuator stacks (2D/3D LiDAR, RGB cameras, motors/actuators) from a software and diagnostic perspective. - A design-for-serviceability mindset — you think about the technician in the field, not just the happy path. - Disciplined engineering practice and version control (Git). NICE TO HAVE: - Experience deploying AI/ML on robots and diagnosing model or behaviour issues in the field. - Familiarity with remote-diagnostics or fleet-telemetry platforms. - Experience authoring service documentation or work instructions consumed by non-engineers. - Exposure to Design-for-Serviceability / DfMA on a hardware product line. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: UK: London (7 Devonshire Square); UK: Remote Worker Workplace: Hybrid THE ROLE You will collaborate with peers across Xero to create and deliver software to our customers. By modelling engineering excellence, you will support your team to grow their technical capability, improve development practices, and tackle open-ended architectural challenges. Your work will directly shape the technical direction of the product group, breaking down silos and driving multi-year product or platform goals. Through data-driven decisions and smart simplification of complex systems, you will help solve customer problems effectively and release value early. THE TEAM This cross-functional engineering team focuses on building and managing software that solves complex problems at scale. Working in a collaborative and safe environment, team members coordinate closely to align technical designs with broader architectural standards. Together, they foster a culture of ownership, experimentation, and feedback to deliver high-quality outcomes. THE TEAM IS CURRENTLY WORKING ON The Syft UK pod is working on high-impact reporting and insights engineering across Xero. Current work includes Budgets API and Reporting integration, the Benchmarking rebuild, and resilience improvements to the Syft-X API as demand grows from both customer-facing experiences and internal consumers. As a Lead Engineer, you’ll be a hands-on technical leader: setting direction, supporting engineers to deliver well, and improving how the team works across design, delivery, deployment and support. You’ll help us build smaller, safer changes, strengthen operational visibility, and reduce dependency on a small number of people for critical knowledge and production work WHERE AND HOW YOU CAN WORK This role offers a remote working environment designed to support collaboration and balance. If you prefer you can work hybrid from one of our modern office spaces, designated in-office boost days to connect with other teams in person. HERE ARE SOME OF THE THINGS WE ARE LOOKING FOR - You bring expertise in designing secure, scalable distributed systems and managing software at scale with proficiency in our core tech stack, Node js, AWS. - A background in coaching and mentoring engineers, helping them grow their technical capabilities, is essential. - You possess strong communication skills, with the ability to navigate complex technical ideas and build alignment. - Your growth mindset drives a passion for continuous learning, experimentation, and sharing technical knowledge. - An ability to lead incident responses, resolve failure patterns, and guide quality testing strategies will be highly valued. - You offer a collaborative approach to problem-solving, welcoming diverse perspectives and encouraging a healthy team culture. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.