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Location: London; Belgrade; Ireland Workplace: Hybrid Perplexity is hiring a Web Access Engineer for the Crawler team to build reliable fetching and rendering systems for AI-powered search. You'll work on freely available public web content, within site permissions and approved access policies, and develop the infrastructure that supplies content to downstream indexing and retrieval systems. Your focus will be diagnosing network errors, page-loading issues, and incomplete rendering. You'll trace problems from network protocols through client-side execution, distinguish technical failures from intentional access restrictions, and turn findings into production fixes that improve content quality and efficiency at scale. Responsibilities - Own fetching and rendering improvements end to end, from investigation through implementation and production rollout, partnering with crawler engineers and SREs. - Investigate fetch and rendering failures across DNS, TLS, HTTP, caching, redirects, and client-side rendering, and classify root causes. - Improve page loading, completion detection, and content capture to preserve relevant content and handle dynamic pages reliably. - Ensure the crawler respects site-imposed access restrictions and rate limits, identifies itself clearly, and retries only transient technical errors. - Build tools to reproduce failures, compare crawler output against expected page content, and turn findings into regression tests. - Define metrics for fetching reliability, content completeness, and error classification, and use them to prioritize improvements. Qualifications - 5+ years of software engineering experience in web infrastructure, browsers, CDNs, or crawling, with strong programming skills in at least one of Go, Python, Rust, or C++. - Deep understanding of HTTP/1.1, HTTP/2, and HTTP/3, including status semantics, caching, conditional requests, content encoding, and redirects; strong knowledge of TLS, DNS, cookies, and sessions. - Understanding of CDN caching and content delivery, HTTP error handling, retry backoff, and server-defined rate limits. - Knowledge of page lifecycle, network idle, service workers, client-side rendering, and shadow DOM; experience debugging JavaScript and fluency with Chrome DevTools, CDP, HAR files, curl, and packet captures. - Comfort working independently when the path forward is not fully defined. Nice to have - Experience developing CDN, caching, or web performance systems. - Experience operating crawlers, headless browsers, or distributed content-acquisition systems at scale. - Contributions to a browser engine or JavaScript runtime.

Location: Spain; Bulgaria; Romania; Poland; Slovakia; Czechia Staff DevOps Engineer Who we are Action1 is a cloud-native autonomous endpoint management platform that helps organizations automate operating system and third-party patching, assess vulnerabilities, and secure endpoints at scale. Trusted by thousands of organizations managing millions of endpoints globally, we are building the infrastructure that supports our continued growth. The Role Working hours Working hours close to the CET time zone are preferred to support regular collaboration with your manager and coordination of the team’s workload. Flexibility to adjust working hours for team coordination, planned production changes, and critical incidents. This includes working US time-zone hours for a couple of days when needed to attend team meetings, participate in cross-training, or support handovers. Job Scope We are looking for a Senior / Staff DevOps Engineer to build and operate Action1’s AWS infrastructure, improve deployment automation, and strengthen production reliability and security. This is a hands-on individual contributor role. You will identify problems, make technical decisions, and carry improvements through implementation and validation, with support and input from your manager and peers. You will join a small, collaborative DevOps team where your ideas help shape how we work. There is room to try new approaches, learn from experienced colleagues, and see your work make a difference in production. You will work closely with R&D and QA on releases and production needs. What you’ll do Build and evolve our AWS infrastructure. Design and operate secure, resilient infrastructure across multiple accounts and regions. Evaluate architecture decisions against production requirements, operational complexity, performance, and cost. Build infrastructure as code. Develop reusable components, reduce configuration drift, and make environments reproducible. Maintain infrastructure and automation in Git with peer review, testing, documentation, and clear ownership. Improve deployment pipelines. Build and maintain CI/CD pipelines, automated checks, deployment controls, and rollback mechanisms to make releases safer and more predictable. Develop reliable automation. Use programming, scripting, and APIs to simplify operations, eliminate repetitive work, and build tooling the team can maintain and support. Apply AI in daily DevOps work. Use approved tools such as Codex or Claude for infrastructure code, scripting, testing, troubleshooting, operational analysis, and documentation. Build reusable workflows, independently review and test outputs, protect sensitive information, and follow established review and change controls. Strengthen observability. Improve metrics, logs, traces, dashboards, and actionable alerts. Investigate performance and capacity constraints, connect telemetry to application behavior, and reduce unnecessary alert noise. Own production reliability. Participate in the on-call rotation and lead incident response when needed. Coordinate recovery, communicate clearly, investigate underlying causes, and verify that corrective changes address the problem. Validate resilience and recovery. Develop and test backup, recovery, failover, and maintenance procedures. Use controlled failure exercises where appropriate to identify weaknesses before they affect customers. Continuously assess AWS platform security. Review access, network exposure, logging, vulnerabilities, and misconfigurations across accounts and environments. Investigate security findings and suspicious activity, prioritize work by risk, and drive remediation through implementation and verification, coordinating with Security and the owners of affected systems. Improve AWS security controls. Evaluate and introduce practical improvements to threat detection, automated security checks, and response workflows. Strengthen least-privilege access, network controls, secrets management, encryption, hardening, and auditability. Integrate technical controls into infrastructure and delivery pipelines to meet security and compliance requirements. Improve cloud efficiency. Understand cost drivers, identify waste, and evaluate capacity and architecture improvements using measured workload behavior. Verify savings alongside performance and reliability. Share operational knowledge. Review infrastructure designs and automation code, document decisions, and maintain useful runbooks and technical documentation. What we’re looking for Substantial hands-on experience in DevOps, SRE, or cloud infrastructure engineering for production SaaS environments. A record of independently identifying and solving problems, prioritizing work, and coordinating dependencies while keeping others informed. Deep AWS knowledge and experience designing, operating, and troubleshooting distributed systems across multiple environments. Strong AWS security operations experience, including assessments, incident investigations, and vulnerability and misconfiguration remediation. Hands-on observability experience using metrics, logs, and traces to investigate production issues and build actionable dashboards and alerts. Strong programming or scripting skills in Python, Node.js, or a comparable language for maintainable automation and API integrations. Strong hands-on experience with both Terraform and AWS CloudFormation, supported by Git, code review, testing, and CI/CD practices. Sound understanding of operating systems, networking, DNS, TLS, identity, storage, and database behavior, with the ability to troubleshoot across system boundaries. Experience with production incident response, root-cause analysis, and recovery planning. Practical experience using AI tools in DevOps, including examples of their benefits, limitations, and how you validated and corrected their output. Analytical thinking and sound judgment: test assumptions, distinguish symptoms from causes, weigh trade-offs, verify results, and recognize when broader review is needed. Flexibility to collaborate across time zones and adjust working hours for team coordination, planned production changes, and critical incidents. Nice to have Hands-on Datadog experience for production troubleshooting and reliability improvement. Experience with Terramate for managing Terraform infrastructure across environments. Experience building operational tools or self-service workflows for provisioning, deployments, and environment management. Practical SRE experience, including service-level objectives, capacity planning, and reliability reviews. Experience supporting SOC 2, ISO 27001, or comparable requirements through technical controls and operational evidence. Experience developing AI agents with appropriate access boundaries, evaluation, and human oversight. Experience mentoring DevOps engineers and leading infrastructure or operational improvements. What we offer Fully remote work, with flexibility around team collaboration and production responsibilities. Ownership of infrastructure supporting a growing global platform. Challenging DevOps work and opportunities to deepen your technical expertise. Direct collaboration with experienced, supportive peers.

Location: San Francisco We’re looking for a Staff Product Designer who is excited to design the future of teamwork at the exact moment it is being reinvented. You’ll join Asana’s AI Design team to craft the experiences where AI does real work alongside people—from agents that take on tasks and AI-recommended workflows to the enterprise controls that build trust. Many of the interaction patterns we need don’t exist yet, giving you the opportunity to invent, ship, and scale them while setting the craft bar across our AI products and platform teams. We design the future of teamwork. Asana has a bold, ambitious mission: help humanity thrive by enabling the world’s teams to work together effortlessly. Our design team is at the heart of that mission. Asana Design is an inclusive and collaborative community made up of a diverse group of designers from different backgrounds (product, brand and content design, design operations, producers, motion design, film, copywriting). We love combining research, data insights, and peer feedback into a human-centered design process to produce designs that are core to the power of our applications. We partner with people across Asana to create our product, shape our brand, and drive greater impact through design—solving challenges, creating experiences that customers love, and taking the time to get weird and have fun along the way. We believe every designer should have the opportunity to grow and learn by utilizing their strengths and nurturing their interests. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Lead the design of end-to-end experiences for Asana’s AI products, taking ambiguous, high-stakes problems from first framing to polished, shipped details. Define the interaction language for how people delegate to, steer, review, and trust AI in Asana—including how agents show their work, ask for input, explain their reasoning, recover from mistakes, and hand work back to people. Champion product excellence by raising the bar for interaction and visual craft so powerful AI capabilities feel clear, calm, and unmistakably Asana, while contributing AI-native patterns and components to our design system. Turn system and technical complexity into simple, dependable experiences by partnering with engineering and product to understand how models, tools, context, and permissions work, and designing for those realities. Treat AI as a design material by prototyping with real models, writing and refining prompts and instructions, and using real outputs and evaluations to shape what we ship. Build what you design using code-based prototypes to explore ideas and align partners, shipping changes to production alongside engineering when it is the fastest path. Design AI for multiplayer teams and enterprises by shaping the transparency, permissions, and admin controls that let organizations govern and roll out AI with confidence. Drive ideas across teams by connecting work across our AI products (such as AI Teammates, AI Studio, and Dash) and platform teams, bringing partners along with working prototypes, clear narratives, and a strong point of view—while elevating fellow designers through critique, pairing, and mentorship. About you 8+ years of experience in product design, with a track record of leading design on complex products at a senior level A portfolio showcasing interaction and visual design craft alongside a track record of shipping complex work at scale Real-world experience designing and shipping AI products—such as agents, assistants, AI-powered automation, or generative features—including designing for model behavior, uncertainty, and failure in partnership with engineering, research, and product teams Fluency with system and technical complexity, demonstrating the ability to reason about data models, permissions, integrations, and LLM constraints in behaviors and systems rather than just screens and flows Hands-on proficiency with modern AI tools, regularly prototyping with LLMs, iterating on prompts, and using AI-assisted design and coding tools in your everyday workflow Proven ability to lead work that spans multiple teams and drive alignment and execution without formal authority Customer-centric problem solver who gets close to users, uncovers unspoken needs, and uses research and data evidence to back design decisions At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $223,000 - $253,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. #LI-Hybrid #LI-HC1 About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Tel Aviv, Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. We are looking for a Senior Software Engineer to work on the core search application powering our agentic search platform. In this role, you will build and operate a high-scale, latency-sensitive API that sits at the center of the search request flow. The system orchestrates multiple retrieval capabilities, ranking components, and downstream services to serve thousands of search requests per second while balancing search quality, latency, reliability, and infrastructure cost. In this position, your responsibility will be to Design, implement, and operate core backend components of a search orchestration system, spanning online services and background data pipelines. Build well-tested services and pipelines with clear responsibilities and interaction contracts, while remaining flexible as the system evolves Define and implement observability primitives, including structured logs, metrics, traces, and quality signals for both online and offline components Support experimentation and iteration by enabling feature flags, controlled rollouts, and online experiments Track throughput, latency, and resource usage across the system, and improve performance or cost efficiency when business needs require it Collaborate closely with ML engineers to integrate search quality improvements to the system, while keeping ML logic decoupled from core system internals Monitor resource usage, bandwidth consumption, and infrastructure cost Work with data analysts and product managers to translate product and quality goals into concrete backend behavior and measurable metrics You may be a good fit if you: 5+ years of experience building product critical backend services Strong Go and Python Experience Experience with large-scale distributed systems (5k+ RPS, billions of events, high-throughput pipelines) Understanding of Information Retrieval flows and pipelines Experience operating production systems and debugging failures in distributed environments Strong understanding of scalability, fault tolerance, and resource management Are interested in either a strong senior IC role or a role with significant technical leadership and ownership. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote - USA At Clover, the Business Enablement team leads our technological advancement while ensuring robust security and compliance. We deliver user-friendly corporate applications, manage complex data ecosystems, and provide efficient tech solutions across the organization. Our goal is simple: we make it easy for the business to do what’s right for Clover. We’re hiring a Engineering Lead to build the systems that help our clinical teams deliver services in the field and in members’ homes. You will own technical direction and delivery for scheduling, dispatch, field and mobile workflows, and the software that connects equipment and home technology to the operation. A likely first assignment is an “Air Traffic Control” system for field operations. A supervisor needs to understand what is happening and act when the plan breaks: a flat tire, a delayed visit, a missing piece of equipment, or a member whose availability changes. You will work with the people doing the job to decide what they need to see, what the system can help resolve, and when a human should intervene. This is a hands-on role that spans product and engineering. You will understand the business problem, shape the solution, build useful increments, and see whether they work. You may start without direct reports and can expect to coach and eventually manage one or two engineers. You should enjoy building personally and helping others become more capable. We value a tinkering instinct: try the unfamiliar tool, inspect the data, trace the failure, put a small improvement in front of a user, and learn from what happens. Hardware or connected-device experience can be a strong signal of that mindset, but it is not required. The central work is building dependable software for an operation that changes throughout the day. As an  Engineering Lead, Clinical Operations, you will: Work directly with supervisors, clinical field staff, and operations leaders to understand schedules, travel, capacity, handoffs, and the exceptions that disrupt a day’s work. Build field visibility and intervention tools that give supervisors useful context, distinguish current facts from missing information, and help them respond to changing conditions. Develop scheduling and dispatch capabilities that match people and visits to practical constraints, with clear ways for operating staff to review and adjust the plan. Build and debug APIs, mobile workflows, integrations, and data flows supporting field teams, connected equipment, and home technology. Prototype quickly and ship focused increments. Make deliberate choices about what to build, integrate, or buy, and avoid committing to a large system before the operation has tested the approach. Use AI actively for development, investigation, prototypes, analysis, and useful workflow capabilities. Check the behavior and make failures understandable and recoverable. Coach engineers and take on a small number of direct reports as the team develops. Maintain clear ownership, sound engineering practices, and credible delivery commitments. Partner with Product, Special Project Leads, IT, Counterpart, and the Engagement lead at the interfaces their work shares with field operations. Success in this role looks like: First 90 days: You understand how the field operation works, have shipped an improvement used by supervisors or field staff, and can show what it changed. You have a focused technical plan grounded in real constraints and exceptions. First six months: Several useful increments are in place. Supervisors can understand and respond to disruptions more effectively, scheduling and field workflows are improving, and technical ownership is clear. You should get in touch if: You are a strong production software engineer who has owned meaningful work end-to-end and still builds regularly. You can move across backend services, APIs, data flows, user interfaces, and operational workflows to solve a real problem. You have strong product instincts, learn unfamiliar domains directly, and enjoy working with the people using what you build. You have an iterative, curious approach to technology. You can describe an unfamiliar system you explored, a practical prototype you tried, or a failure you traced across boundaries. You use AI in your own engineering work and have practical experience building or integrating AI-backed capabilities, with clear verification and evaluation. You can coach engineers and are interested in responsibility for a small team as it develops. Formal management experience can help, but a strong record of Engineering Leadership and coaching also matters. Benefits Overview : Financial Well-Being : Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions. Physical Well-Being : We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare. Mental Well-Being : We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. Professional Development : Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews. Additional Perks: Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities Reimbursement for office setup expenses Monthly cell phone & internet stipend Remote-first culture, enabling collaboration with global teams Paid parental leave for all new parents And much more! About Clover: We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most. We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility. #LI-Remote Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company. Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc. A reasonable estimate of the base salary range for this role is: $223,100 — $290,000 USD

Location: Remote - USA At Clover, the Business Enablement team leads our technological advancement while ensuring robust security and compliance. We deliver user-friendly corporate applications, manage complex data ecosystems, and provide efficient tech solutions across the organization. Our goal is simple: we make it easy for the business to do what’s right for Clover. We’re hiring an Engineering Lead to own the technology behind Clover’s acquisition journey, from the public website and lead generation through telesales, broker workflows, and enrollment. You will understand how the operation works, shape the product and technical approach, lead a small team, and help build the systems yourself. This role focuses on autonomy and engineering-led delivery: take an important business goal, understand the people and data involved, choose a practical approach, ship useful increments, and own the result. You will also manage approximately two to three engineers, give them clear scope, and develop their judgment. Expect roughly 60% hands-on technical work and 40% management, planning, and work with business partners. Your charter includes our content management systems, telesales technology, member app, and public surface area including our enrollment forms and customer data and public analytics platforms. You will work through the whole chain, from a data source or API to what an agent or prospective member actually experiences. As an Engineering Lead, Growth, you will: Own technical direction and delivery for acquisition systems, including the public website and assets, telesales, broker workflows, and enrollment experiences. Work directly with sales, growth, marketing, and operating partners to understand the business problem, choose useful increments, and agree how their value will be measured. Connect analytics, leads, customer data, CRM, and operating workflows. Make data flows, ownership, and failure behavior understandable and dependable. Build and improve software personally. Use AI in development, investigation, analysis, prototypes, and useful product capabilities, and evaluate the result against actual behavior. Lead and coach a small engineering team. Make scope and staffing decisions, give direct feedback, and stand behind credible delivery commitments. Make pragmatic choices about architecture, vendors, and existing capabilities. Keep a focused solution moving while preserving engineering quality and control of important integration points. Partner with IT on the operation and support of sales tools, and with Product and our special projects teams on discovery, dependencies, and business change. Observe how prospective members, brokers, and sales staff use the systems. Use that evidence to improve the experience and the operation. Success in this role looks like: First 90 days: You understand the acquisition journey and existing systems, have a clear first delivery plan, and have shipped an increment that improves our users’ experience. Your engineers have clear ownership, and business partners understand the next commitments. First six months: The team has landed a new telesales stack, and other agreed acquisition priorities, including the ongoing growth demands of a five star Medicare Advantage plan. Data and tools are improving the actual sales workflow, and the result is visible in agreed operational and acquisition measures. You should get in touch if: You are a strong production software engineer who has led work end-to-end and can reason across application, integration, data, and user-experience boundaries, especially in public-facing contexts. You have managed and developed engineers while remaining directly involved in building. You enjoy the scope of an enduring small team. You have strong product instincts and can translate a commercial or operating goal into a useful technical plan with measurable results. You have built systems involving customer data, CRM, sales or acquisition workflows, public web and content management experiences, or similarly interconnected operations. You use AI deeply in your own engineering work and have practical experience building or integrating AI-backed capabilities. You can explain how you check the result. You work well with business partners, make tradeoffs clear, and can move work forward when the initial request is ambiguous. Benefits Overview : Financial Well-Being : Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions. Physical Well-Being : We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare. Mental Well-Being : We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. Professional Development : Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews. Additional Perks: Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities Reimbursement for office setup expenses Monthly cell phone & internet stipend Remote-first culture, enabling collaboration with global teams Paid parental leave for all new parents And much more! About Clover: We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most. We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility. #LI-Remote Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company. Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc. A reasonable estimate of the base salary range for this role is: $223,100 — $290,000 USD

Location: Novi Sad, South Bačka, Serbia, EMEA From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking for a Staff Engineering Operations Partner to own how Engineering organises, maintains, and uses its internal knowledge. You’ll join our Engineering Operations partner team and lead Engineering knowledge management in Notion as your primary program. You’ll define what good looks like: a clear information architecture, useful content types and templates, accountable content owners, and documentation that engineers can find and trust. You’ll assess the current state, set priorities, lead the improvements, and establish practices that keep the knowledge base useful as Engineering grows and changes. This is a hands-on role. You’ll combine knowledge management expertise with technical fluency, using AI and automation to improve documentation workflows and reduce manual maintenance. You’ll work closely with engineers, process owners, other EngOps partners, and technical enablement to make standards part of everyday practice. You will own the knowledge management framework and its effectiveness, while partnering with subject matter experts who are accountable for technical accuracy. You’ll also serve as the Engineering Operations Partner for our Engineering Strategy & Operations (ES&O) global group, supporting planning, execution, operational health, and process improvement. Engineering knowledge management will be your dedicated program alongside this partnership. This is a full-time position based in Novi Sad, Serbia. What You’ll Do Own the strategy, roadmap, and delivery of Engineering knowledge management in Notion, managing priorities, dependencies, risks, and stakeholder commitments from initial assessment through rollout and sustained operation. Define and evolve the information architecture, navigation, content types, templates, and metadata so engineers can find the right information and understand how to use it. Partner with the global Notion owners to align Engineering’s knowledge-management practices with company-wide standards, and work with Engineering communications contributors to support internal updates, including the bi-weekly newsletter. Establish documentation standards covering quality, ownership, review, and content lifecycle, working with relevant owners to align documentation and automation with access and governance requirements. Lead a practical improvement plan for existing content, working with teams to resolve gaps, duplicates, conflicting guidance, and outdated material while preserving useful knowledge. Build and improve AI-assisted and automated workflows that make it easier to create, organise, review, and maintain Engineering knowledge. Evaluate their effectiveness and keep them reliable as needs change. Guide EngOps partners, engineers, and content owners in adopting knowledge-management practices, building reusable approaches they can maintain independently. Define and track meaningful measures of knowledge quality, discoverability, adoption, and maintenance effort. Use feedback and evidence to prioritise the work and show its impact. Act as the Engineering Operations Partner to the ES&O global group leader, supporting quarterly and annual planning, execution, OKRs, health metrics, and alignment with Engineering-wide practices. Help ES&O teams identify operational issues, improve processes, and follow through on agreed actions, working with Analytics and other partners where needed. Skills We’re Looking For 6+ years of relevant experience in engineering operations, knowledge management, technical content strategy, documentation operations, or a related discipline in a technology organisation. Demonstrated expertise in information architecture, knowledge management, or content governance, with experience establishing standards and improving a substantial knowledge base used by technical teams. Strong technical fluency and experience working closely with software engineers. You can understand technical dependencies and design, build, and troubleshoot automation workflows using approaches such as APIs, integrations, or scripting. Practical experience applying AI and automation to operational workflows, including implementing solutions and evaluating their effectiveness. The ability to own a broad, ambiguous problem: set direction, prioritise work, make tradeoffs, and deliver measurable improvements that last beyond the initial rollout. Experience influencing senior stakeholders and driving adoption across teams without direct authority, including resolving disagreements and establishing shared accountability. Excellent written and verbal communication. You can make complex information clear, create usable standards, and adapt your communication to technical and non-technical audiences. Strong analytical and operational judgment. You use evidence to understand problems, measure outcomes, and improve processes, and can apply that approach to an engineering global group’s planning and operational health. Bonus Skills​ Deep experience with Notion, including databases, templates, permissions, and integrations. Experience as an engineering operations partner or in a similar role supporting planning, OKRs, health metrics, or engineering process improvement. Technical writing or content strategy experience for internal engineering audiences. Experience leading a large knowledge-base cleanup, restructuring, or migration, including consolidation and content retirement. Experience operating automations over time, including monitoring failures, handling exceptions, and improving reliability. Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

- Independently testing end-to-end banking user journeys, ensuring functional correctness beyond UI validation. - Executing and validating real banking operations across key application features.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma is building the system of record for digital product development: collaborative tools with natural interfaces that bring PMs, developers, QA, and designers together. That creates new-to-the-world problems in how we build AI products, understand how people use them, and evaluate what makes them useful. You'll work with a unique, petabyte-scale dataset with rich traces of collaborative design and product building to tackle those problems. We're looking for an Applied Data Researcher who combines scientific depth with a proactive builder mindset. Reporting directly to our Head of Data, with regular visibility with C-level executives, you'll identify and vet opportunities, lead investigations into critical questions, and build useful Data products, tools, and prototypes. You'll work across Data Science, Engineering, Product, Design, and AI Research, building directly and providing technical direction to teams of other scientists as efforts grow. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Identify and vet consequential opportunities across Data products and tools, AI measurement and evaluation, and applied data capabilities; lead investigations and shape priorities with partners Develop and validate methods for evaluating generative AI and agentic workflows, including representative datasets, baselines, rubrics, and evals; investigate uncertainty, bias, failure modes, and real user outcomes Personally write code and build or adapt LLM-powered tools, agentic workflows, models, prototypes, and demos that test scientific, product, and tool hypotheses, using AI-assisted coding and analysis in your work Provide technical direction and oversight for larger projects, delegate work to teams of senior and staff scientists, and mentor scientists and engineers while maintaining a substantial personal contribution to code and methods Independently drive delivery or partner with engineering to turn useful prototypes into maintained systems, balancing quality, latency, cost, reliability, and iteration speed Establish reusable methods, tools, and technical standards; iterate with users, drive adoption across teams, and use evidence to improve an approach or recommend a change in direction Communicate findings, recommendations, limitations, and tradeoffs clearly to partners and C-level executives, connecting scientific and technical work to important product and company decisions We'd love to hear from you if you have: Deep expertise in machine learning, statistics, causal inference, or a related quantitative field, plus hands-on experience in generative AI evaluation and measurement, including evals, labeling, and agentic workflows Fluent programming skills in Python or a comparable language, plus SQL, and a record of independently building, debugging, testing, and reviewing useful software, including working effectively with AI-assisted development tools A proactive builder mindset and end-to-end ownership: experience identifying important opportunities and carrying ambiguous work through method development, implementation, rigorous evaluation, and sustained use by others A sustained record of company-, organization-, or cross-pillar scientific impact, including shaping technical direction, overseeing larger projects, and leading other senior scientists through influence and delegation Strong judgment, independence, and collaborative communication, including experience making recommendations to C-level executives, explaining uncertainty and tradeoffs, and aligning partners on priorities and decisions While it's not required, it's an added plus if you also have: Experience with human labeling, automated judge validation, conversational data, or multimodal AI and machine learning Experience building interactive applications, lightweight interfaces, APIs, or reusable open-source tools Cloud and data infrastructure experience; familiarity with Snowflake, AWS, Dagster, dbt, or Hex is useful, but no particular vendor or framework is required An MS or PhD in machine learning, computer science, statistics, or a similar quantitative discipline; graduate research, publications, or equivalent applied depth At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $235,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE  Every business pays bills, and many of them still do it by hand. Someone opens the invoice, types it in, codes it, chases approvals, pays it, matches it and syncs it to the books. It's one of the largest manual workflows left in finance. We're building the version where software does that work. Bills come in and get read, coded, matched, approved and paid, and a person steps in only when judgment matters. Bill Pay is already one of Ramp's fastest-growing products. The next few years decide who owns AP for the next decade, and we plan for it to be us. We're looking for a PM who wants to build that. - Please note that this role requires in-person presence at our NYC or SF office at least 2 days/week. - Level will be determined based on the candidate’s interview performance and previous scope of responsibility. WHAT YOU’LL DO - Own strategy, roadmap and results for a major part of Bill Pay. - Spend real time with AP clerks, controllers and CFOs, and turn what you see into product. - Prototype with customers, set quality bars with Engineering and Data, and ship automation people trust. - Measure success by adoption, automation and time saved, then use the data to decide what comes next. - Work with Procurement, Accounting, Payments and Risk so a bill moves from inbox to payment to the books without gaps. PROBLEMS YOU'LL WORK ON - How do we get from "AI drafts the bill" to "AI handles the bill" without customers losing trust or control? - When should an agent act on its own, when should it ask, and how do we show our work so a controller signs off with confidence? - How do we make one product that a 10-person startup sets up in minutes and a multi-entity enterprise with an ERP and an AP team runs at scale? - How do we catch the wrong bill, the duplicate and the suspicious vendor change before the money leaves? - How do we use what Ramp knows across millions of transactions to help customers pay smarter, not just faster? WHAT YOU NEED - You have 5+ years building products, and you've owned at least one from first customer conversation to real adoption. - You've built with AI hands-on, whether in products, prototypes or side projects, and you have opinions about evals, failure modes and user control. - You're technical enough to go deep with engineers on data models and integrations, and you pull your own data. - You can make complex workflows simple without stripping out what power users need. - You learn new domains fast. You don't need to know AP today, but you'll want to know it better than anyone in six months. - You write clearly, decide quickly and get teams to ship. - You want a hard problem, a high bar and more scope as soon as you've earned it. NICE-TO-HAVES - You've worked on AP, payments, accounting or other finance software. - You've shipped AI to production, especially document understanding or agent workflows. - You've built for enterprise customers: ERPs, multi-entity setups, complex approvals and permissions. - You've worked at a high-growth startup and know what it takes to scale a product that's working. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Mapbox Poland Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  WHAT WE DO The Navigation Native team builds the high-performance C++ engine that serves as the "brain" of our Navigation SDKs. This library runs directly on end-user systems (on-board), powering everything from mobile apps to in-vehicle infotainment systems for partners like BMW, Porsche, and Zeekr. We solve the fundamental challenges of movement: transforming noisy GPS/IMU data into precise map-matching, managing complex road-network graphs, supporting routes and alternatives, tracking progress along a route, and providing "Electronic Horizon" capabilities for ADAS. Our work happens at the edge, supporting location frequencies up to 10Hz and ensuring a seamless experience even in tunnels or dense urban canyons. As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow. WHAT YOU'LL DO We are looking for smart, fast-learning engineers who care as much about proving that navigation works as about making it work. As an SDE(T), you will: - Build and maintain the unit, integration, and functional test architecture for a C++17 library, and the CMake and CI pipelines that run it. - Turn real-world location recordings into regression tests, and define the quality metrics for map-matching, routing, and route-following. - Keep the quality signal fast and trustworthy: eliminate flaky tests, run sanitizer and performance builds, and track coverage. - Build AI-driven test tooling: agent-based test generation, automated dogfooding and triage, and AI-assisted PR review. - Partner with feature engineers on testability and review designs for how they will be verified. - Thoughtfully leverage AI tools in your workflow and set the standard for how the team uses them.  WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE -  5+ years of experience in C++17: comfortable writing test code and tooling, reading production code, and debugging with sanitizers and profilers. Python or similar for harnesses and analysis. - Proven experience building test infrastructure for a large native codebase: test frameworks, CMake, and CI systems. - A data-driven mindset: you define metrics, build the tooling to measure them, and use them to argue for or against a change. - Experience diagnosing hard-to-reproduce failures: flakiness, platform-specific behavior, memory and threading bugs. - Strong English skills, with the ability to explain test results, risk, and trade-offs to peers and stakeholders. Would be a Plus - Familiarity with navigation concepts (map matching, dead reckoning, route progress, or Electronic Horizon). - Experience with replay- or simulation-based testing using real sensor and GPS data. - Hands-on experience building AI- or agent-based developer tooling for testing, code review, or triage. - Experience with coverage tooling, performance benchmarking, or testing SDKs through generated bindings. WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. HOW WE SUPPORT YOU - Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable. - Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits. - Family-First Support: Family care, maternity and paternity leave policies to support your growing family. - Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth. - Balance & Brainpower: Mental health support for you and your dependents. - Rest & Recharge: Paid time away, company holidays, and generous absence policies. - Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO. Our annual compensation for this role ranges from $75 - $100 (salaries are in USD). Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role). By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here.  Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application.  We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote

Location: Remote Workplace: Remote ABOUT US Launched in 2019, Constructor is an AI-first e-commerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains. ABOUT THE TEAM The SABR team owns the top layer of request processing for product discovery. We own the service that first receives product discovery requests (autocomplete, search, browse & recommendations) & executes the entire business logic that drives product discovery. That service also functions as a gateway to parse incoming user requests, orchestrate calls across the internal services that do the ranking and retrieval, interpret their responses, and assemble the final response the customer sees. We also own the public configuration APIs customers use to control how discovery behaves, and the MCP layer that exposes all of it to AI agents. Our team owns both platform & product components: Because of the positioning of our services, we take part in every architectural decision of our core product offering. At the same time, our goals are heavily influenced by direct customer feedback, because all product discovery-related features are either implemented in or integrated with our services. All of our services are public APIs, so interface design and backward compatibility are a constant part of the job. But most of our attention goes to keeping them fast and up: we serve up to 15k RPS, fan out to many internal services on every request, and are expected to stay available and degrade gracefully when any of them fails or slows down. The work is distributed systems in practice rather than in theory: request orchestration, failure isolation, caching, latency budgets, capacity planning, and the observability to know what is actually happening in production. The team is small enough that engineers own problems end to end, from design through on-call. ABOUT YOU You're a senior engineer who wants to own features end to end, not just close tickets. You've built and run production Python services, ideally high-traffic or latency-sensitive ones, and you've been on-call for them. You think in trade-offs: latency versus cost, a quick fix versus a durable one, a new parameter versus a public API customers can't afford to see break. You can take a feature from a rough problem statement to a design, ship it, and then make sure it behaves in production. You're comfortable leading a project with one or two other engineers and helping teammates grow along the way. When a problem is only partly defined, you ask the right questions to pin it down. When you meet an unfamiliar protocol or system, you read the spec and work out how it fits. You change your mind when someone has a better argument, and you still care about your code long after it merges. WHAT YOU WILL DO - Own the design and delivery of features and components in our services. - Design and evolve public API endpoints with backward compatibility in mind, and contribute to architecture discussions for our services. - Improve performance and reliability: find latency and failure hotspots, add the observability needed to understand them, and fix them. - Take an active part in design and code review, and mentor mid-level engineers. - Work with product, solutions/support, and other engineering teams to understand customer needs and turn them into solid technical solutions - Take part in on-call for the systems you own, and lead incident response and follow-through when things break. WHAT WE ARE LOOKING FOR TECHNICAL - Solid experience building and operating backend services in production, ideally high-traffic or low-latency ones. - Extensive Python knowledge (our primary language). - Hands-on experience with observability (metrics, logs, traces) and debugging performance issues in live systems. - Experience designing and evolving public APIs that external customers depend on. - Experience designing & implementing scalable service-oriented architectures. BEYOND THE CODE - Track record of delivering projects end to end, including leading small efforts with other engineers. - Collaborative mindset: open to feedback, and willing to change your position when someone has a better argument. - Clear written communication - design docs, RFCs, postmortems. - Good judgment about trade-offs and scope. - Comfort with ambiguity and loosely defined problems. - Ownership that extends past merge, to how the system behaves in production. NICE TO HAVE - Experience with AWS - Background in search, ranking, information retrieval, or e-commerce product discovery. - Exposure to AI/LLM-facing infrastructure (MCP, agent tooling, or similar). BENEFITS 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year 🌎 Fully remote team - choose where you live 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office 💻 Apple laptops provided for new employees 🧑‍🎓 Training and development budget for every employee, refreshed each year 👪 Maternity & Paternity leave for qualified employees 🧠 Work with smart people who will help you grow and make a meaningful impact 💵 Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results TBD 📈 Stock options - offered in addition to the base salary 🎉 Regular team offsites to connect and collaborate DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice. After that period your data will be deleted or anonymized. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Location: Mapbox Germany Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  WHAT WE DO The Navigation Native team builds the high-performance C++ engine that serves as the "brain" of our Navigation SDKs. This library runs directly on end-user systems (on-board), powering everything from mobile apps to in-vehicle infotainment systems for partners like BMW, Porsche, and Zeekr. We solve the fundamental challenges of movement: transforming noisy GPS/IMU data into precise map-matching, managing complex road-network graphs, supporting routes and alternatives, tracking progress along a route, and providing "Electronic Horizon" capabilities for ADAS. Our work happens at the edge, supporting location frequencies up to 10Hz and ensuring a seamless experience even in tunnels or dense urban canyons. As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow. WHAT YOU'LL DO We are looking for smart, fast-learning engineers who care as much about proving that navigation works as about making it work. As an SDE(T), you will: - Build and maintain the unit, integration, and functional test architecture for a C++17 library, and the CMake and CI pipelines that run it. - Turn real-world location recordings into regression tests, and define the quality metrics for map-matching, routing, and route-following. - Keep the quality signal fast and trustworthy: eliminate flaky tests, run sanitizer and performance builds, and track coverage. - Build AI-driven test tooling: agent-based test generation, automated dogfooding and triage, and AI-assisted PR review. - Partner with feature engineers on testability and review designs for how they will be verified. - Thoughtfully leverage AI tools in your workflow and set the standard for how the team uses them.  WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE -  5+ years of experience in C++17: comfortable writing test code and tooling, reading production code, and debugging with sanitizers and profilers. Python or similar for harnesses and analysis. - Proven experience building test infrastructure for a large native codebase: test frameworks, CMake, and CI systems. - A data-driven mindset: you define metrics, build the tooling to measure them, and use them to argue for or against a change. - Experience diagnosing hard-to-reproduce failures: flakiness, platform-specific behavior, memory and threading bugs. - Strong English skills, with the ability to explain test results, risk, and trade-offs to peers and stakeholders. Would be a Plus - Familiarity with navigation concepts (map matching, dead reckoning, route progress, or Electronic Horizon). - Experience with replay- or simulation-based testing using real sensor and GPS data. - Hands-on experience building AI- or agent-based developer tooling for testing, code review, or triage. - Experience with coverage tooling, performance benchmarking, or testing SDKs through generated bindings. EMPLOYMENT REQUIREMENTS - Employment Type: Full-time - Weekly Hours: 40 h per week - Location/Hybrid Policy: Remote (from any city in Germany) WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. HOW WE SUPPORT YOU - Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable. - Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits. - Family-First Support: Family care, maternity and paternity leave policies to support your growing family. - Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth. - Balance & Brainpower: Mental health support for you and your dependents. - Rest & Recharge: Paid time away, company holidays, and generous absence policies. - Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here.  Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application.  We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote

Location: Mapbox Helsinki Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  WHAT WE DO The Navigation Native team builds the high-performance C++ engine that serves as the "brain" of our Navigation SDKs. This library runs directly on end-user systems (on-board), powering everything from mobile apps to in-vehicle infotainment systems for partners like BMW, Porsche, and Zeekr. We solve the fundamental challenges of movement: transforming noisy GPS/IMU data into precise map-matching, managing complex road-network graphs, supporting routes and alternatives, tracking progress along a route, and providing "Electronic Horizon" capabilities for ADAS. Our work happens at the edge, supporting location frequencies up to 10Hz and ensuring a seamless experience even in tunnels or dense urban canyons. As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow. WHAT YOU'LL DO We are looking for smart, fast-learning engineers who care as much about proving that navigation works as about making it work. As an SDE(T), you will: - Build and maintain the unit, integration, and functional test architecture for a C++17 library, and the CMake and CI pipelines that run it. - Turn real-world location recordings into regression tests, and define the quality metrics for map-matching, routing, and route-following. - Keep the quality signal fast and trustworthy: eliminate flaky tests, run sanitizer and performance builds, and track coverage. - Build AI-driven test tooling: agent-based test generation, automated dogfooding and triage, and AI-assisted PR review. - Partner with feature engineers on testability and review designs for how they will be verified. - Thoughtfully leverage AI tools in your workflow and set the standard for how the team uses them.  WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE -  Solid C++17 proficiency: comfortable writing test code and tooling, reading production code, and debugging with sanitizers and profilers. Python or similar for harnesses and analysis. - Proven experience building test infrastructure for a large native codebase: test frameworks, CMake, and CI systems. - A data-driven mindset: you define metrics, build the tooling to measure them, and use them to argue for or against a change. - Experience diagnosing hard-to-reproduce failures: flakiness, platform-specific behavior, memory and threading bugs. - Strong English skills, with the ability to explain test results, risk, and trade-offs to peers and stakeholders. Would be a Plus - Familiarity with navigation concepts (map matching, dead reckoning, route progress, or Electronic Horizon). - Experience with replay- or simulation-based testing using real sensor and GPS data. - Hands-on experience building AI- or agent-based developer tooling for testing, code review, or triage. - Experience with coverage tooling, performance benchmarking, or testing SDKs through generated bindings. WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. HOW WE SUPPORT YOU - Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable. - Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits. - Family-First Support: Family care, maternity and paternity leave policies to support your growing family. - Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth. - Balance & Brainpower: Mental health support for you and your dependents. - Rest & Recharge: Paid time away, company holidays, and generous absence policies. - Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here.  Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application.  We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote

Location: Singapore; Philippines; Albania; Ukraine; Indonesia; Australia; Serbia; Thailand; Khazakstan; Armenia; Türkiye; Romania Workplace: Remote Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones) Start Date: ASAP Languages: English Team: Engineering   ABOUT THE ROLE Our client is a fast-growing AI company building reliable, fair and open infrastructure for AI training data. Their marketplace helps the people who create data get value for it, and gives AI labs trustworthy data to train on. It is already used by startups, Fortune 500 companies and frontier labs, and the company is backed by leading venture investors, including Y Combinator. They are scaling quickly to meet strong demand. We are looking for a Research Engineer, Synthetic Data to build the synthetic data pipeline. You will turn domain-specific workflows into synthetic training tasks that are realistic enough to teach useful behaviour, structured enough to generate at scale, and difficult enough to expand model capabilities. This is a hands-on research engineering seat, not a commercial or privacy-systems role. You will design how synthetic tasks are created, mutated and validated, and you will analyse what those tasks actually teach models and agents. This is a full-time role, starting ASAP. Offices are in San Francisco and Singapore; remote candidates are welcome if their working hours can overlap about 70–80% with either San Francisco (US Pacific) or Singapore business hours. The exact daily schedule will be agreed during hiring.   WHAT YOU'LL DO - Work with subject-matter experts to create synthetic tasks for training AI agents across a range of professional and technical domains. - Design synthetic task-generation methods that produce diverse, realistic and learnable tasks. - Build systems and tooling to mutate, validate and improve synthetic tasks. - Analyse model and agent performance on synthetic tasks to understand what the tasks are teaching and where they fail. - Develop metrics to quantify and understand synthetic task diversity, realism, learnability and related qualities. - Take synthetic data pipelines from early research through to reliable systems, including in areas where the roadmap is not fully prescribed.   WHAT WE'RE LOOKING FOR - Proficiency in Python, Docker and Linux environments. - Experience with synthetic data research methods — please be ready to describe this in your application. - A strong understanding of what “good synthetic data” means, and of its limitations. - Experience building synthetic data pipelines end to end, including where there was no fully prescribed roadmap. - Experience working on environments, evals or benchmarks. - Clear written and spoken English, and comfort collaborating remotely across time zones. - Strong candidates may also be detail-oriented enough to catch subtle inconsistencies or edge cases in synthetic data; able to reason from first principles about task design, scoring and failure modes; and comfortable in unstructured problem spaces or early-stage environments. - Technical aptitude and learning potential matter more than years of experience. Motivated candidates are encouraged to apply even if they don't meet every point above.   WHY THIS ROLE MATTERS FOR YOU - Build the synthetic data pipeline: You will design the tasks and systems that generate training data at scale, not only run experiments on someone else's pipeline. - Research that has to work in production: Turn messy, domain-specific workflows into tasks that are realistic, measurable and usable for training agents. - See what the data actually teaches: Analyse model and agent performance, and improve the tasks when they fail. - High ownership, unstructured problems: You will build without a fully prescribed roadmap, from method design through tooling and metrics. - San Francisco, Singapore, or remote: Work on-site in San Francisco or Singapore, or remotely, with hours that overlap about 70–80% with either US Pacific or Singapore business hours. The exact daily schedule will be agreed during hiring.   Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Location: United States; Colombia; Sacramento; Los Angeles; San Francisco; Canada; Costa Rica; Mexico Workplace: Remote Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones) Start Date: ASAP Languages: English Team: Engineering ABOUT THE ROLE Our client is a fast-growing AI company building reliable, fair and open infrastructure for AI training data. Their marketplace helps the people who create data get value for it, and gives AI labs trustworthy data to train on. It is already used by startups, Fortune 500 companies and frontier labs, and the company is backed by leading venture investors, including Y Combinator. They are scaling quickly to meet strong demand. We are looking for a Research Engineer, Synthetic Data to build the synthetic data pipeline. You will turn domain-specific workflows into synthetic training tasks that are realistic enough to teach useful behaviour, structured enough to generate at scale, and difficult enough to expand model capabilities. This is a hands-on research engineering seat, not a commercial or privacy-systems role. You will design how synthetic tasks are created, mutated and validated, and you will analyse what those tasks actually teach models and agents. This is a full-time role, starting ASAP. Offices are in San Francisco and Singapore; remote candidates are welcome if their working hours can overlap about 70–80% with either San Francisco (US Pacific) or Singapore business hours. The exact daily schedule will be agreed during hiring. WHAT YOU'LL DO - Work with subject-matter experts to create synthetic tasks for training AI agents across a range of professional and technical domains. - Design synthetic task-generation methods that produce diverse, realistic and learnable tasks. - Build systems and tooling to mutate, validate and improve synthetic tasks. - Analyse model and agent performance on synthetic tasks to understand what the tasks are teaching and where they fail. - Develop metrics to quantify and understand synthetic task diversity, realism, learnability and related qualities. - Take synthetic data pipelines from early research through to reliable systems, including in areas where the roadmap is not fully prescribed. WHAT WE'RE LOOKING FOR - Proficiency in Python, Docker and Linux environments. - Experience with synthetic data research methods — please be ready to describe this in your application. - A strong understanding of what “good synthetic data” means, and of its limitations. - Experience building synthetic data pipelines end to end, including where there was no fully prescribed roadmap. - Experience working on environments, evals or benchmarks. - Clear written and spoken English, and comfort collaborating remotely across time zones. - Strong candidates may also be detail-oriented enough to catch subtle inconsistencies or edge cases in synthetic data; able to reason from first principles about task design, scoring and failure modes; and comfortable in unstructured problem spaces or early-stage environments. - Technical aptitude and learning potential matter more than years of experience. Motivated candidates are encouraged to apply even if they don't meet every point above. WHY THIS ROLE MATTERS FOR YOU - Build the synthetic data pipeline: You will design the tasks and systems that generate training data at scale, not only run experiments on someone else's pipeline. - Research that has to work in production: Turn messy, domain-specific workflows into tasks that are realistic, measurable and usable for training agents. - See what the data actually teaches: Analyse model and agent performance, and improve the tasks when they fail. - High ownership, unstructured problems: You will build without a fully prescribed roadmap, from method design through tooling and metrics. - San Francisco, Singapore, or remote: Work on-site in San Francisco or Singapore, or remotely, with hours that overlap about 70–80% with either US Pacific or Singapore business hours. The exact daily schedule will be agreed during hiring. Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Location: Singapore; Philippines; Albania; Ukraine; Indonesia; Australia; Serbia; Thailand; Khazakstan; Armenia; Türkiye; Romania Workplace: Remote Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones) Start Date: ASAP Languages: English Team: Engineering ABOUT THE ROLE Our client is a fast-growing AI company building reliable, fair and open infrastructure for AI training data. Their marketplace helps the people who create data get value for it, and gives AI labs trustworthy data to train on. It is already used by startups, Fortune 500 companies and frontier labs, and the company is backed by leading venture investors, including Y Combinator. They are scaling quickly to meet strong demand. We are looking for a Research Engineer, Privacy and Anonymization to build the systems that make sensitive, real-world data safe and still useful for AI training. You will develop methods to detect and remove personally identifiable information, secrets and other sensitive content from raw data before it enters processing and synthetic data pipelines — protecting privacy without destroying the structure and signal that make the data valuable for training agents. This is a privacy and data-protection engineering seat, not a synthetic-task design role. You will own the pipeline that stands in front of downstream processing, training, evaluation and synthetic generation. This is a full-time role, starting ASAP. Offices are in San Francisco and Singapore; remote candidates are welcome if their working hours can overlap about 70–80% with either San Francisco (US Pacific) or Singapore business hours. The exact daily schedule will be agreed during hiring. WHAT YOU'LL DO - Build systems to detect PII, quasi-identifiers, credentials and other sensitive information, and design transformations based on the data type and the downstream use case. - Develop and benchmark detection approaches that combine rules, statistical models, classifiers and LLM-based methods. - Build production pipelines that anonymize raw data before it enters downstream processing, training, evaluation or synthetic data generation. - Create evaluation frameworks that measure privacy risk and retained data utility, including recall-weighted metrics, leakage tests and adversarial re-identification attempts. - Design systems that stay robust to new data sources, schema drift, unusual formats and sensitive information embedded in unexpected fields. - Work with engineering, research, operations and customers to translate privacy requirements into practical technical policies and safeguards. WHAT WE'RE LOOKING FOR - Strong proficiency in Python, and experience building reliable production data or machine-learning systems. - Experience with information extraction, named-entity recognition, classification, or related methods for detecting rare or sensitive content. - Strong experimental instincts, and the ability to compare approaches across recall, precision, latency, cost and downstream data utility. - An understanding of the difference between redaction, masking, pseudonymization, anonymization and synthetic data — and when each is appropriate. - High attention to detail, and the ability to reason about subtle leakage paths, edge cases and adversarial failure modes. - Experience building data-processing pipelines end to end, including where there was no fully prescribed roadmap. - Clear written and spoken English, and comfort collaborating across teams and time zones. - Strong candidates may also have hands-on experience with privacy-enhancing technologies (such as differential privacy, k-anonymity, secure aggregation or format-preserving encryption); have worked with sensitive data in healthcare, finance or security; have built low-latency or high-throughput ML inference or data-processing systems; or have taken work from early research through to production. - Technical aptitude and learning potential matter more than years of experience. Motivated candidates are encouraged to apply even if they don't meet every point above. WHY THIS ROLE MATTERS FOR YOU - Make real-world data safe to train on: You will build the systems that let sensitive data be used for AI training without exposing people or secrets. - Privacy without wrecking utility: The job is not only to redact, but to keep the structure and signal that downstream training and synthetic pipelines need. - From detection to production: You will own the full path: detection methods, transformations, evaluation, and the pipeline that sits in front of training and generation. - Hard, high-stakes edge cases: Work on leakage paths, schema drift and adversarial failure modes, not only clean benchmark datasets. - San Francisco, Singapore, or remote: Work on-site in San Francisco or Singapore, or remotely, with hours that overlap about 70–80% with either US Pacific or Singapore business hours. The exact daily schedule will be agreed during hiring. Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Location: United States; Colombia; Sacramento; Los Angeles; San Francisco; Canada; Costa Rica; Mexico Workplace: Remote Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones) Start Date: ASAP Languages: English Team: Engineering ABOUT THE ROLE Our client is a fast-growing AI company building reliable, fair and open infrastructure for AI training data. Their marketplace helps the people who create data get value for it, and gives AI labs trustworthy data to train on. It is already used by startups, Fortune 500 companies and frontier labs, and the company is backed by leading venture investors, including Y Combinator. They are scaling quickly to meet strong demand. We are looking for a Research Engineer, Privacy and Anonymization to build the systems that make sensitive, real-world data safe and still useful for AI training. You will develop methods to detect and remove personally identifiable information, secrets and other sensitive content from raw data before it enters processing and synthetic data pipelines — protecting privacy without destroying the structure and signal that make the data valuable for training agents. This is a privacy and data-protection engineering seat, not a synthetic-task design role. You will own the pipeline that stands in front of downstream processing, training, evaluation and synthetic generation. This is a full-time role, starting ASAP. Offices are in San Francisco and Singapore; remote candidates are welcome if their working hours can overlap about 70–80% with either San Francisco (US Pacific) or Singapore business hours. The exact daily schedule will be agreed during hiring. WHAT YOU'LL DO - Build systems to detect PII, quasi-identifiers, credentials and other sensitive information, and design transformations based on the data type and the downstream use case. - Develop and benchmark detection approaches that combine rules, statistical models, classifiers and LLM-based methods. - Build production pipelines that anonymize raw data before it enters downstream processing, training, evaluation or synthetic data generation. - Create evaluation frameworks that measure privacy risk and retained data utility, including recall-weighted metrics, leakage tests and adversarial re-identification attempts. - Design systems that stay robust to new data sources, schema drift, unusual formats and sensitive information embedded in unexpected fields. - Work with engineering, research, operations and customers to translate privacy requirements into practical technical policies and safeguards. WHAT WE'RE LOOKING FOR - Strong proficiency in Python, and experience building reliable production data or machine-learning systems. - Experience with information extraction, named-entity recognition, classification, or related methods for detecting rare or sensitive content. - Strong experimental instincts, and the ability to compare approaches across recall, precision, latency, cost and downstream data utility. - An understanding of the difference between redaction, masking, pseudonymization, anonymization and synthetic data — and when each is appropriate. - High attention to detail, and the ability to reason about subtle leakage paths, edge cases and adversarial failure modes. - Experience building data-processing pipelines end to end, including where there was no fully prescribed roadmap. - Clear written and spoken English, and comfort collaborating across teams and time zones. - Strong candidates may also have hands-on experience with privacy-enhancing technologies (such as differential privacy, k-anonymity, secure aggregation or format-preserving encryption); have worked with sensitive data in healthcare, finance or security; have built low-latency or high-throughput ML inference or data-processing systems; or have taken work from early research through to production. - Technical aptitude and learning potential matter more than years of experience. Motivated candidates are encouraged to apply even if they don't meet every point above. WHY THIS ROLE MATTERS FOR YOU - Make real-world data safe to train on: You will build the systems that let sensitive data be used for AI training without exposing people or secrets. - Privacy without wrecking utility: The job is not only to redact, but to keep the structure and signal that downstream training and synthetic pipelines need. - From detection to production: You will own the full path: detection methods, transformations, evaluation, and the pipeline that sits in front of training and generation. - Hard, high-stakes edge cases: Work on leakage paths, schema drift and adversarial failure modes, not only clean benchmark datasets. - San Francisco, Singapore, or remote: Work on-site in San Francisco or Singapore, or remotely, with hours that overlap about 70–80% with either US Pacific or Singapore business hours. The exact daily schedule will be agreed during hiring. Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.