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Location: Singapore 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. The Role We're looking for a Lead Software Engineer to build software that makes network operations safe, scalable, and boring, as we launch new data centers in APAC and expand fast. This is not a "write scripts for configs" role: you'll build the tooling and services that sit between the network core (switches/ports/VLANs, traffic processors) and the cloud platform on top, using open source where it fits and building the missing pieces where it doesn't. At this stage of our APAC growth you will be hands-on: writing code, making architectural decisions and owning your area end to end, with real autonomy. Then you will grow the local engineering team around you. Your responsibilities will include: Build and maintain services and tooling that automate the network lifecycle: day-0 provisioning, day-N changes, drift detection, and operational verification Make network changes safe and transparent: CI/CD workflows, diff/review tooling, staged rollouts/rollbacks, audit trails, and guardrails Develop observability systems that scale across many sites: telemetry pipelines, signal quality, and tooling that shortens incident investigations Close "last mile" gaps between the network and the platform: integrate source-of-truth data, expose APIs, and build reliable automation around it Own architecture and technical decisions for your area in APAC, and align them with the European teams Collaborate closely with network engineers and SREs to turn real operational pain into product-quality tooling Hire and onboard the first engineers in the region, set code quality and engineering standards, and mentor the team We expect you to have: 7+ years of professional software engineering experience (or equivalent practical background), including experience as a tech lead or team lead with broad ownership Strong coding skills and ownership mindset: you can ship and operate reliable services Proficiency in Go or readiness to switch; Python is also welcome (other languages can be useful for OSS debugging/fixes) Ability to work autonomously in an early-stage environment, make decisions with incomplete information, and build processes from scratch Willingness to stay hands-on while leading and growing a team You don't have to be a Network expert , but we expect you to have interest in infrastructure and/or network It will be an added bonus if you have: Background in networking (ex-network engineer, CCNP/education, DC networking exposure) or strong interest and proven ability to learn fast Experience building automation/infra tooling: CI/CD, IaC, testing/staging environments, or "network-as-code" style workflows Low-level networking / datapath experience: eBPF/XDP, DPDK, kernel networking, traffic processing systems Experience designing high-load services and observability platforms (metrics/logs/traces, alerting, regression detection) Contributions to open source or experience extending/debugging OSS components in production environments Experience building an engineering team from scratch or launching a new engineering hub We expect Engineers to: Manage large-scale projects involving multiple stakeholders across regions Break down complex tasks and guide both their own work and that of more junior colleagues Be experts in specific technologies and write high-quality code that can serve as a reference Assess task priority and focus on high-impact work, avoiding low-value efforts Have strong architectural thinking and contribute to system design Lead hiring in the region: define the profile, run interviews, and make hiring decisions Share knowledge and mentor others 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: Singapore 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. The Role We're looking for a Lead Site Reliability Engineer to build and run the fundamental part of Nebius in APAC: the Network, the infrastructure everything else depends on. We are at the early stage of our APAC expansion, so this is a hands-on role. You will define reliability targets, write automation and handle incidents yourself, with a high degree of independence from the European teams. As the region grows, you will build and lead the local SRE team. Your responsibilities will include: Define and own reliability goals for network services and critical paths in the region (SLIs/SLOs, availability targets, error budgets where it makes sense) Drive reliability improvements across the whole APAC network: not only services, but also site readiness, inter-site connectivity (DCI), and operational standards for new data centers Own incident response for your areas, lead investigations/postmortems, and turn failures into durable fixes (not repeated firefighting); set up on-call and incident management practices for the region Build and evolve observability: actionable metrics/logs/traces, alerting, and faster debug loops during and after incidents Design safer change workflows: automation, CI/CD, test/staging environments, canarying, rollbacks, and auditability for network changes Work closely with network engineers and platform teams in APAC and Europe to embed operability into designs and keep operations practical and fast Hire, onboard and mentor the first SREs in the region and set the engineering bar for the team Coordinate with European teams on handoffs and coverage across time zones We expect you to have: 7+ years of experience in SRE / infrastructure engineering, including experience leading a team or acting as a technical lead with broad ownership of production systems Strong production Linux fundamentals and a structured approach to debugging complex systems Solid understanding of networking basics and how real networks fail (control plane vs data plane, latency/loss, failure domains, etc.) Hands-on experience operating high-availability systems and improving them over time (not just "keeping lights on") Ability to write and maintain software/automation (Go is common for us; Python is also welcome) Experience with modern infrastructure tooling (e.g., IaC, CI/CD, container platforms) and comfort automating operational workflows Ability to work independently in an early-stage environment and to build processes and a team from scratch Willingness to stay hands-on while leading and growing a team It will be an added bonus if you have: Experience with high-throughput traffic processing: load balancers, tunneling/decap, NAT64, or similar datapath-heavy systems Low-level networking performance/debug background (eBPF/XDP, DPDK, perf/ftrace, kernel networking internals) Experience building network-safe delivery pipelines (testing labs, staged rollouts, automated verification, drift detection) Background with large-scale network observability/telemetry (routing/flow telemetry, regression detection at scale) Knowledge of the APAC network landscape (carriers, IX, regional connectivity and regulatory specifics) 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: United States At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our  Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate  innovation and reduce risk. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk! Job Summary: As a senior individual contributor on the Application Security team, the Staff Application Security Engineer will help to define and drive Reltio’s application and product security architecture across a distributed, cloud-native SaaS platform. This role helps in the technical direction for securing how Reltio designs, builds, and ships software—helps to define the strategy and roadmap for secure SDLC, shift-left automation, and the secure adoption of API-driven and AI/agentic technologies. The Staff Application Security Engineer will partner with the Engineering, DevOps, Product, and Release Management teams to embed security as a foundational part of software design and delivery. The successful candidate will set standards, mentor and uplevel other security and engineering staff, lead complex threat modeling and architecture reviews, and develop novel techniques to identify and stop application- and AI-layer attacks—protecting Reltio’s intellectual property and customer data globally. Job Duties and Responsibilities: Security Architecture & Technical Leadership Serve as the senior application security subject matter expert, providing guidance on industry best practices, secure design patterns, and defense-in-depth strategies for the product security architecture. Helps to define and drive the overall application/product security architecture, vision, strategy, and roadmap across Reltio’s platform and services. Influence engineering architecture and roadmap decisions without direct authority, driving risk-based consensus across teams. Mentor and uplevel application security engineers and development teams, raising the secure-coding maturity of the broader organization. Secure Development Lifecycle & Shift-Left Embed security throughout the SDLC, from design through deployment, and define secure coding standards and best practices adopted across teams. Drive shift-left initiatives by providing guidance, tooling, paved-road patterns, and remediation support that enable engineers to build securely from the outset. CI/CD Pipeline Security Design and implement security controls within CI/CD pipelines, enabling automated security testing and vulnerability detection at scale. Operationalize SAST, SCA, DAST, and secrets scanning as policy-driven, low-friction gates; partner with release management on secure deployment checks and policy compliance. Threat Modeling & Risk Assessment Lead threat modeling sessions for complex, high-impact systems to identify and mitigate security risks early in design and architecture phases. Perform technical risk assessments of new technology and ensure solutions meet secure architecture designs; assess, measure, and clearly communicate risk impact to stakeholders. Vulnerability Management Analyze and validate remediation of application security findings from SAST, SCA, DAST, API testing, penetration tests, and manual assessments. Drive risk-based prioritization of fixes, reduce false positives, and provide clear, actionable remediation guidance with proper pre-release validation. API Security Partner with engineering to ensure secure API design and implementation; identify and mitigate authentication/authorization issues, data exposure, rate-limiting gaps, and OWASP API Top 10 risks. AI & Agentic Security (Guardrails, MCP, LLM) Helps to define AI security guardrails for Reltio’s AI and multi-agent platforms, addressing prompt/output validation, insecure model usage, data leakage, and tenant-isolation concerns. Establish security standards for Model Context Protocol (MCP) servers and tools—covering tool authorization, scoping, and abuse prevention—and lead threat modeling of agentic workflows (autonomous tool use, indirect prompt injection, excessive agency). Develop new and novel defense techniques to detect and stop advanced application- and AI-layer adversary tactics, and evaluate AI-assisted security tooling to scale detection and remediation. Penetration Testing & Security Validation Perform and oversee application, API, and AI/agent penetration testing; build and curate test payloads (including prompt-injection and guardrail bypass suites) and validate control effectiveness. Training, Collaboration & Continuous Improvement Deliver secure-coding, API, and AI-security guidance and hands-on support during code and design reviews. Partner with DevOps, QA, Engineering, Product, and Release Management to integrate security requirements throughout development and release. Stay current on emerging application, API, and AI/agentic security threats and continuously improve security processes, tooling, and overall posture. Investigate security events and incidents leveraging security tooling, and support customer-facing security communications as needed. Skills You Must Have: 8+ years of experience in application security or software development, including significant time in a cloud-native or SaaS environment. Demonstrated technical leadership as a senior individual contributor: setting standards, driving cross-team initiatives, and influencing architecture without direct authority. Hands-on experience with secure coding practices and modern application development; proficiency leading secure code reviews. Strong understanding of cloud well-architected frameworks, application development, and deployment workflows. Strong understanding of application security vulnerabilities (OWASP Top 10) and prevention strategies. Strong understanding of API security principles and the OWASP API Top 10. Experience integrating security into CI/CD and release management processes (e.g., Jenkins, ArgoCD, or similar). Experience with application security testing methodologies—SAST, SCA, and DAST—integrated into CI/CD pipelines. Experience with AI security concepts, including guardrails, prompt and output validation, data protection, and MCP security. Hands-on experience with web technologies such as Java, Java Spring Boot, JavaScript, Node.js, C#, modern UI frameworks, microservices, and cloud-native/serverless architectures. Experience with AWS, GCP, and/or Azure, and securing containerized environments and Kubernetes. Hands-on experience with Burp Suite Pro for web and API testing. Experience with modern application security platforms, with Wiz preferred (other AppSec tools acceptable). Strong communication and presentation skills, with the ability to educate, collaborate, and drive risk-based consensus. Self-starter with a history of driving technical initiatives; adaptable, agile, and effective in global, distributed teams. Skills That Are Nice to Have: Hands-on experience securing LLM applications and multi-agent systems, including agentic guardrail frameworks (e.g., NeMo Guardrails, AWS Bedrock Guardrails) and MCP gateway/tool security. Experience building or operationalizing AppSec automation/orchestration (SAST/SCA/secrets + AI analysis) and defect-management integration (e.g., DefectDojo). Experience with commercial AppSec/SCA platforms such as Wiz Code, Veracode, Checkmarx, Cycode, or SonarQube. Experience developing and operationalizing a vulnerability management or product security program at scale. Experience with industry frameworks such as SOC 2, HITRUST, or ISO 27001, and supporting audit/customer-assurance processes. Applying ML/AI techniques to enhance security detection, anomaly identification, and automated risk prioritization. Relevant security and cloud certifications. At Reltio, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and your specific job family, background, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location. Overall Market Range $145,000 — $207,000 USD Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Управление портфелем из 10+ параллельных проектов; Контроль темпа, дедлайнов, качества и ключевых результатов;

Location: United Kingdom (Hybrid) Workplace: Hybrid Most money apps talk at you. Cleo talks back ✨ We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance. The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money. We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in. Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥 MEET THE TEAM 👥 This role offers direct involvement in how a company is built and run: the choices about products, people, capital and execution that determine its success. You’ll work with Barney and the leadership team to investigate difficult questions, develop independent recommendations and turn them into results. Your work might range from diagnosing why a product is underperforming to evaluating a new market, shaping a fundraising narrative or leading a company-wide initiative. The standard is high. You’ll need to get deep into unfamiliar subjects, interrogate the numbers, challenge assumptions and explain your reasoning clearly. You’ll be expected to contribute your own view and take responsibility for what happens next. As you build trust and context, you’ll take on greater autonomy, represent Barney in important discussions and own substantial work on his behalf. You’ll see how decisions play out and develop your judgement through direct experience. For someone who intends to found a company, lead a business or become an investor, this is an opportunity to build the operating experience and commercial judgement to do it well. ABOUT THE ROLE ✍️ We’re hiring a Chief of Staff to partner with our CEO. Working alongside the leadership team, you’ll be the right hand to our CEO, driving the priorities that matter most across Cleo 🌱 - Investigate consequential questions. Analyse markets, products, customer behaviour and business performance. Establish what the evidence says, identify the choices and trade-offs, and make a clear recommendation. - Own major initiatives. Take priorities off the CEO’s plate and drive them from an ambiguous starting point through to delivery. Work across functions, establish ownership, resolve obstacles and stay accountable for the outcome. - Improve business performance. Get close to Cleo’s numbers. Identify where results diverge from expectations, work with leaders to understand the causes and help drive a credible response. - Support fundraising and board decisions. Work with the CEO, Finance and leadership team on rigorous analysis, compelling materials and a clear account of our strategy, performance and capital needs. - Make leadership time count. Shape discussions around the decisions that matter, prepare useful briefs and follow commitments through to completion. Partner with the CEO’s EA to align his time with his priorities. - Write and communicate with precision. Produce decision papers, presentations and internal and external communications. Make complex ideas understandable and the reasoning behind recommendations easy to assess. - Exercise independent judgement. Surface uncomfortable facts, challenge assumptions constructively and explain what would change your view. Build relationships across the business so your recommendations are informed and your work gets done. WHAT WE'RE LOOKING FOR 🕵️ We’re looking for someone with exceptional ability, independent judgement and the ambition to take on consequential work. You may have developed these qualities in strategy, finance, technology, research, entrepreneurship or another demanding field. We’ll assess the quality of your thinking, the difficulty of what you’ve taken on and what you personally achieved. - A record of exceptional achievement. You’ve distinguished yourself through the quality and impact of your work. You can point to difficult problems you solved, significant responsibility you earned and results you personally delivered. We’ll want to understand your contribution and what made the work demanding. - Intellectual depth and range. You’ve gone deep in at least one area and can get to grips with unfamiliar subjects quickly. You ask incisive questions, reason from first principles and connect ideas across disciplines. - Independent judgement. You distinguish evidence from assumption, form a clear view and explain your reasoning. You’re comfortable challenging strong opinions, admitting uncertainty and changing your mind when the facts warrant it. - Analytical and commercial ability. You’re confident working with numbers, interrogating business performance and evaluating trade-offs. You can turn incomplete information into a sound recommendation and connect detailed analysis to its implications for the company. - A record of execution. You bring structure to open-ended problems and take ownership through to the outcome. You earn cooperation from strong colleagues, resolve obstacles and follow through without needing to be chased. - Exceptional communication. You write precise, persuasive prose, listen carefully and make complex ideas clear. You can disagree constructively, earn credibility with senior leaders and represent the CEO’s thinking accurately while contributing your own. - Ambition, composure and low ego. You seek significant responsibility, welcome direct feedback and hold yourself to a demanding standard. You remain effective under pressure, handle sensitive information with discretion and bring care to both consequential decisions and routine preparation. - Intelligent use of AI. You actively use AI tools to accelerate research, analysis, writing and execution. You test their outputs and retain responsibility for the quality of your work. We welcome unconventional paths and evidence of excellence from different settings. Be ready to show us how you think, what you’ve built or changed, and what you learned from the results. What you’ll gain Direct access to the CEO’s thinking, close work with experienced leaders and the opportunity to see your recommendations tested in a real business. Your responsibility will grow as you demonstrate judgement and deliver results. You’ll develop a practical understanding of how to set direction, allocate resources, evaluate performance and lead through others at a profitable AI company operating at scale. WHAT WE OFFER We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements. For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈 WHAT MATTERS Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits. We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know. We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!

Location: Reykjavík We're looking for a staff software engineer to work on how data is queried and who is allowed to see it. Every read in Asana passes through this layer: it resolves what a user is asking for and enforces, on every object, whether that user is permitted to see it. You will help us keep those guarantees correct and fast as our largest customers grow their domains, their permission structures get more intricate, and AI agents become a significant new class of caller. The Query and Access Control team owns the query execution path over the Work Graph and the permissioning model that governs it. As a staff engineer on the team, you will take on our hardest technical problems and drive the work that spans several teams, bringing depth to the design decisions that shape this layer for years. We work closely with other teams in the core infrastructure area to build and retain customer trust in Asana as the platform for their critical workflows. This role is based in our Reykjavik 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 Design and implement a query layer over the Work Graph that stays correct and performant as customer domains and permission structures grow Evolve our access control model so that permission checks remain sound, auditable, and fast on every read path Define how new classes of caller, including AI agents acting on a user's behalf, are authorized, without weakening the guarantees customers depend on Drive large, multi-quarter projects that cut across team boundaries, from design and implementation through deployment and iteration Build alignment on the design with engineers and leaders in other teams before the code is written, and keep that alignment as the work lands Share what you know through design review, code review, and mentorship Partner with infrastructure teams across Asana to define how user data in the Work Graph is accessed Support framework and product engineers to build new product functionality at scale, quickly About you 8+ years of engineering experience building and operating reliable backend services at scale, with 3+ years driving large-scale projects You have driven large technical initiatives spanning multiple teams, and perhaps organizations, from early design to adoption You go deep on hard problems and can carry a design from first principles through to production You enjoy sharing what you know with other engineers and helping them build production-quality infrastructure You are skilled at communicating technical concepts and constraints to cross-functional partners in product You bring care and rigor to systems where correctness is not negotiable, and can reason about the blast radius of a change before it ships Desirable You have experience with authorization systems, permission models, or multi-tenant data isolation at scale You have worked on query engines, query planning, caching layers, or graph-shaped data access You are familiar with infrastructure-as-code and container orchestration technologies like Terraform and Kubernetes 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 1 600 000 - 1 800 000 ISK monthly. 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 Talent Acquisition Partner 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 Talent Acquisition Partner to learn more about the total compensation and benefits for this role. #LI-Hybrid #LI-AZ About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: New York City, NY; New York City, NY | Seattle, WA; Remote-Friendly, United States; San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for Software Engineers to join the Memory & Search team. We own how Claude remembers you and how it finds what it needs, across Claude.ai, Cowork and Claude Code. That spans the user-facing experience (what Claude remembers, how people see and edit it, how search surfaces the right conversation) and the shared infrastructure underneath it, the memory service, indexing, retrieval and vector search. Memory is one of the biggest levers on whether Claude feels like it knows you. We recently moved memory from a periodically synthesized summary to a dynamic, editable, on-demand system, and then unified it so the same memory follows you across products. Search went from a top user complaint to something people rely on to find past work. The platform is now in place, and the next phase is finding the product form factors that make memory the most compelling and sticky part of using Claude. That is why we are hiring product engineers. The team is strong on infrastructure, and we want people who have shipped user-facing products at scale, have a sharp sense for what makes a product feel good, and have built agentic systems where the model, the tools and the user interface have to work together. You will run short, demo-driven experiments on top of the memory and search stack, decide what to keep based on real usage, and help the whole team think like a product team. If you have founded a company, been an early engineer at a startup, or taken a product from zero to one, you will recognize the way we want to work. This is a trust-sensitive surface. Memory touches privacy, consent and enterprise controls, so you will work closely with product, design, privacy, legal and safeguards, and you will be expected to treat those constraints as part of good product design rather than obstacles to it. Key responsibilities Design, build and ship memory and search experiences in Claude.ai, Cowork and Claude Code, owning them end to end from the backend service through the model's tools to the user interface Run product experiments on the memory and search stack: form a hypothesis, build a demo, put it in front of real users, measure, and make a clear persevere-or-pivot call Shape how Claude uses memory and retrieval inside its agentic loop, including what the model stores, when it searches, how results are ranked and presented, and how the user stays in control Define and track the metrics that tell us whether memory is actually making Claude more useful, and build the evaluations that keep quality honest as the system evolves Improve search relevance and recall across conversations and memories, working across embeddings, hybrid retrieval and ranking as well as the interface that presents results Partner with product, design, privacy, legal and safeguards to ship features that respect user consent and enterprise requirements such as customer-managed encryption keys and data retention policies Raise the bar on product quality for the team through design reviews, code reviews and the standards you set for latency, polish and reliability Share the on-call for the systems you own Minimum qualifications Experience building and operating user-facing products used by a large number of people, including the backend services behind them Experience building agentic systems or LLM-powered products, including tool use, retrieval and prompt or context design Strong programming skills in Python and TypeScript, with experience across backend services and web front ends A track record of taking a product or feature from an idea to launch, and iterating on it based on usage data and user feedback Experience defining product metrics and running experiments to make decisions Strong product judgment: you notice when something feels off and you fix it, and you can explain why a design choice matters to users Strong written and verbal communication, with experience working closely with product managers, designers and non-engineering partners Interest in AI safety and Anthropic's mission Preferred qualifications Experience as a founder, early-stage engineer, or someone who has taken a product from zero to one Experience building search or retrieval systems: embeddings, vector search, hybrid lexical and semantic retrieval, or ranking Experience building evaluations for LLM or ML systems, or measuring the quality of retrieval and ranking Experience on consumer products with strong retention, or on personalization systems Experience shipping features that handle sensitive data or meet enterprise requirements such as customer-managed encryption keys, data residency or HIPAA Experience with latency-sensitive, performance-critical product work Experience mentoring engineers or setting technical direction for a team The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco; Seattle; New York City ABOUT THE ROLE The Enterprise Agent Evals & Efficiency team makes Perplexity's agents better at completing real work across enterprise connectors, tools, and data. Our goal is to help agents choose the right tools, use the right context, and complete complex workflows reliably, with less time and compute. This team owns the improvement loop: define what successful work looks like, build evaluations that measure it, understand where agents fail, and ship changes that improve outcomes. This is a hands-on engineering role with end-to-end ownership, from building realistic enterprise evaluation environments to shipping improvements across the agent harness, tools, and skills. You'll create complex scenarios spanning connected systems, data, and permissions, use them to identify where agents struggle, and improve the tools agents call, the skills they follow, the context they receive, and the models they use. Working with AI Research, Connectors, and Platform teams, you'll turn experimental results into measurable gains in task success, latency, and cost per successful task. The goal is not just to measure agents, but to make more enterprise work reliable and practical to automate. KEY RESPONSIBILITIES - Build realistic enterprise evaluation environments spanning connected applications, representative datasets, user roles, and permissions, with complex, multi-step workflows and reproducible system state. - Own evaluation infrastructure, task suites, and automated graders that measure how well agents complete enterprise work, calibrated against human judgment and grounded in end-to-end outcomes. - Analyze agent trajectories and production failures, identify root causes, and ship improvements across the agent harness, tools, and skills that measurably improve task success and reliability. - Develop reusable skills and improve tool descriptions, schemas, and result handling so agents can select the right tools, execute workflows correctly, and recover from errors with fewer unnecessary calls. - Build and evaluate model-selection and routing strategies that match each task to the right model and effort level, balancing quality, latency, reliability, and cost. - Improve agent efficiency through context management, skill loading, caching, and execution strategies that reduce wasted tokens and cost per successful task without compromising quality or safety. - Build regression gates and launch-readiness signals for model, connector, tool, skill, and harness changes, and validate that evaluation gains translate into better production outcomes. QUALIFICATIONS - 5+ years of software engineering or machine learning engineering experience, with a track record of owning complex production systems from design through deployment and operation. - Strong system design skills, including building reliable, scalable infrastructure for experimentation, evaluation, or data-intensive applications. - Strong proficiency in a backend language such as Python, Go, or Rust, and the ability to work effectively across a multi-language production stack. - Hands-on experience building, evaluating, or improving LLM-based applications or agents, including tool use and multi-step workflows. - Deep expertise in at least one of the following: - Evaluation infrastructure, benchmark design, and automated grading. - Agent harnesses, tool interfaces, and reusable skills for complex workflows. - Realistic test environments or simulations spanning multiple systems, datasets, permissions, and stateful workflows. - Model selection, routing, and inference efficiency, including context management and caching. - Strong experimental and statistical judgment, including choosing representative tasks, defining meaningful success criteria, diagnosing failures, and distinguishing real improvements from noise. - Sound technical judgment in balancing task quality, latency, reliability, and cost, with a track record of translating evaluation findings into shipped improvements. - A track record of leading ambiguous, cross-team initiatives from architecture through production adoption, setting technical direction, and raising engineering quality through mentorship. If you’re excited about this role, we encourage you to apply even if you don’t meet every qualification. We value demonstrated impact, deep ownership, and the initiative to turn ambiguity into results.

Location: San Francisco; Seattle; New York City ABOUT THE ROLE The Enterprise Agent Evals & Efficiency team makes Perplexity's agents better at completing real work across enterprise connectors, tools, and data. Our goal is to help agents choose the right tools, use the right context, and complete complex workflows reliably, with less time and compute. This team owns the improvement loop: define what successful work looks like, build evaluations that measure it, understand where agents fail, and ship changes that improve outcomes. This is a hands-on engineering role with end-to-end ownership, from building realistic enterprise evaluation environments to shipping improvements across the agent harness, tools, and skills. You'll create complex scenarios spanning connected systems, data, and permissions, use them to identify where agents struggle, and improve the tools agents call, the skills they follow, the context they receive, and the models they use. Working with AI Research, Connectors, and Platform teams, you'll turn experimental results into measurable gains in task success, latency, and cost per successful task. The goal is not just to measure agents, but to make more enterprise work reliable and practical to automate. KEY RESPONSIBILITIES - Build realistic enterprise evaluation environments spanning connected applications, representative datasets, user roles, and permissions, with complex, multi-step workflows and reproducible system state. - Own evaluation infrastructure, task suites, and automated graders that measure how well agents complete enterprise work, calibrated against human judgment and grounded in end-to-end outcomes. - Analyze agent trajectories and production failures, identify root causes, and ship improvements across the agent harness, tools, and skills that measurably improve task success and reliability. - Develop reusable skills and improve tool descriptions, schemas, and result handling so agents can select the right tools, execute workflows correctly, and recover from errors with fewer unnecessary calls. - Build and evaluate model-selection and routing strategies that match each task to the right model and effort level, balancing quality, latency, reliability, and cost. - Improve agent efficiency through context management, skill loading, caching, and execution strategies that reduce wasted tokens and cost per successful task without compromising quality or safety. - Build regression gates and launch-readiness signals for model, connector, tool, skill, and harness changes, and validate that evaluation gains translate into better production outcomes. QUALIFICATIONS - 5+ years of software engineering or machine learning engineering experience, with a track record of owning complex production systems from design through deployment and operation. - Strong system design skills, including building reliable, scalable infrastructure for experimentation, evaluation, or data-intensive applications. - Strong proficiency in a backend language such as Python, Go, or Rust, and the ability to work effectively across a multi-language production stack. - Hands-on experience building, evaluating, or improving LLM-based applications or agents, including tool use and multi-step workflows. - Deep expertise in at least one of the following: - Evaluation infrastructure, benchmark design, and automated grading. - Agent harnesses, tool interfaces, and reusable skills for complex workflows. - Realistic test environments or simulations spanning multiple systems, datasets, permissions, and stateful workflows. - Model selection, routing, and inference efficiency, including context management and caching. - Strong experimental and statistical judgment, including choosing representative tasks, defining meaningful success criteria, diagnosing failures, and distinguishing real improvements from noise. - Sound technical judgment in balancing task quality, latency, reliability, and cost, with a track record of translating evaluation findings into shipped improvements. - A track record of leading ambiguous, cross-team initiatives from architecture through production adoption, setting technical direction, and raising engineering quality through mentorship. If you’re excited about this role, we encourage you to apply even if you don’t meet every qualification. We value demonstrated impact, deep ownership, and the initiative to turn ambiguity into results.

Lambda is looking for a Staff Product Manager Compute to define, launch, price, and improve cloud compute products.

Lambda is looking for a Staff Product Manager Storage and Networking to define, launch, price, and improve cloud data and connectivity products.

Location: Prague, Czechia; Lisbon, Portugal; Madrid, Spain CloudLinux is a global remote-first company. We are driven by our principles: do the right thing, employees first, we are remote first, and we deliver high-volume, low-cost Linux infrastructure and security products that help companies to increase the efficiency of their operations. Every person on our team supports each other and does what we can to ensure we all are successful. Check out our website for more information: cloudlinux.com We are currently hiring Staff Engineers for various projects within the Imunify360 product. Imunify360 is CloudLinux's multi-layer security suite for Linux web servers: antivirus and malware cleanup, WAF, IDS/IPS, Proactive Defense, patch management (KernelCare/Patchman), and IP/domain reputation. It runs on hundreds of thousands of shared, VPS and dedicated hosting servers, under cPanel, Plesk, DirectAdmin and standalone. The engineering org is 60+ engineers in squads covering backend, core, server agent, malware research, WAF/WebShield, and Patchman. Core services are Python; agents and performance-critical paths are Go and Rust. We run on Hetzner and our own bare metal. Check out our website for more information: https://imunify360.com/ Role Mission & Scope Most complex technical challenges in Imunify360 go beyond individual squads. A single detection change can impact the scanner, agent, UI, reputation backend, and release process. While squad leads own delivery within their teams, the Staff Engineer ensures technical alignment across the product. As a Staff Engineer, you'll be a hands-on technical leader working across the entire product , focusing on the most critical and high-impact challenges as priorities evolve. You'll drive technical decisions, improve architecture, establish engineering standards, and help teams build sustainable solutions. This is an individual contributor role , without direct people management responsibilities. You'll remain actively involved in development, spending approximately 30–50% of your time writing production code , rather than focusing solely on architectural design. While deep expertise in a particular area is valued, this role requires the flexibility to work across different components, collaborate with multiple squads, and tackle challenges wherever your expertise can make the greatest impact. What you will own Architecture and technical direction Own the end-to-end architecture of Imunify360 as a product: agent ↔ server ↔ cloud backends, data flows, and the contracts between them. Write and drive ADRs and RFCs for cross-squad changes. Run the Wed/Fri architecture sync together with the Technical Director. Keep a living tech-debt and risk register (security / compliance / uptime) with owners and dates, and get the top items funded on the roadmap. Hard cross-cutting problems (examples of what lands on your desk) Agent resource footprint on dense shared hosts: CPU, memory and I/O budgets for scanning, file monitoring (inotify/fanotify) and WAF, measured on real kernels, not benchmarks from elsewhere. Detection pipeline quality: false positive / false negative rates, signature and ML model rollout with staged gates and rollback. Upgrade and release safety across a large, heterogeneous fleet (CentOS/AlmaLinux/CloudLinux/Ubuntu, multiple control panels, old kernels). Backend scale and cost of reputation, ThreatIntel and telemetry services. Migrating hot paths from Python to Go/Rust where the data shows it pays off, and saying no where it doesn't. Engineering standards Set the bar for design reviews, code review, testing strategy, observability (Prometheus/Grafana/Sentry) and secure SDLC (OWASP ASVS, CIS Benchmarks as relevant). Lead or co-lead SEV1/SEV2 incidents when the cause is unclear or cross-squad; make sure the blameless post-mortem ships within 24 h and its actions get closed. Drive the AI-augmented SDLC in practice: show what good agentic coding looks like (prompt specificity, context provision, review quality, tool boundaries) on real changes, not slides. People multiplier (no direct reports) Mentor senior engineers and squad leads toward staff-level scope. Act as the technical bar-raiser in hiring loops for senior and lead roles. Be the engineering voice in product and sales discussions: estimates, feasibility, and no dated customer commitment without a written squad-lead estimate. Key Milestones 30 days: Shipped at least one non-trivial change to production. Can explain the full request path from agent to backend. Has a personal list of top 10 technical risks. 90 days: Owns one cross-squad initiative with an approved ADR, a measured baseline, and a staged rollout plan. Published risk register reviewed in arch sync. 6 months: That initiative is in production with before/after metrics. At least one engineering standard (e.g. release gating, agent perf budget, design review template) is adopted by 3+ squads. 12 months: Recognized by squad leads as the default escalation point for cross-cutting technical decisions. At least one senior engineer grown into broader scope with your mentorship. Requirements Must have 10+ years building and operating production software, with 3+ years in a Staff/Principal/Tech Lead scope spanning several teams. Strong production experience in Python and at least one of Go or Rust . Deep Linux internals : processes, filesystems, networking, kernel interfaces (inotify/fanotify, eBPF or similar), packaging (RPM/DEB), systemd. Track record of designing and running distributed systems at scale: async backends, queues, databases, caching, failure modes. You have owned systems that run on customer machines (agents, daemons, on-prem software) and know what upgrade safety, backward compatibility and resource budgets mean there. Security mindset: threat modeling, secure coding, handling of untrusted input (files, HTTP traffic, user content). Writes clear, short technical documents and drives decisions in async, remote teams across time zones. Uses AI coding tools (Cursor, Claude, MCP-based tooling) daily and can judge their output critically. Nice to have Experience in server security: AV/malware detection, WAF (ModSecurity/Coraza), IDS/IPS, rootkit detection, CVE/patch management. Experience with WordPress and Node.JS web application hosting at scale ML in production for classification/detection, including evaluation and safe model rollout. Observability at scale: Prometheus, Grafana, Sentry, ClickHouse or similar. CI/CD ownership: GitLab CI, Jenkins, build systems for multi-distro packaging. Open-source contributions in security or systems tooling. Benefits What's in it for you? Stay hands-on technically while owning complex, high-impact engineering work. Work on challenging Linux, automation, and cybersecurity problems across mature and newer products. Influence technical direction and make meaningful architectural decisions. Work independently with a high level of ownership and autonomy. Fully remote work with flexible working hours. 24 paid vacation days, 10 national holidays, and unlimited sick leave. Private medical insurance compensation. Co-working and gym/sports reimbursement. Education budget. Opportunity to receive a reward for innovative ideas that the company can patent. By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy ( https://cloudlinux.com/candidate-privacy-notice ), which provides detailed information on how we maintain and handle your data.

Own system architectural vision and design for critical areas of our business. Transform high-level system vision into estimated project plans for initiatives central to Squarespace’s strategy.

Own substantial connectivity work: Lead multiple medium-to-large features or service components from problem definition through design, implementation, validation, release readiness, and operational handoff.

Задачи: — Руководство проектированием, разработкой и внедрением on-premises MLOps решений для поддержки доставки моделей машинного обучения — Сотрудничество с дата-сайентистами и разработчиками для создания масштабируемых и эффективных конвейеров данных, систем обучения и деплоя моделей — Разработка и поддержка инструментов мониторинга и управления для обеспечения надежности и производительности MLOps инфраструктуры — Взаимодействие с заинтересованными сторонами для понимания их потребностей в машинном обучении и разработки соответствующих решений — Отслеживание новейших трендов и технологий в области MLOps, машинного обучения и искусственного интеллекта, обмен знаниями с командой — Наставничество младших членов команды и помощь в развитии их навыков в MLOps — Поиск и устранение проблем пользователей Требования: — Опыт работы 5+ лет в MLOps, разработке ПО, инженерии данных или смежных областях — Сильные навыки программирования на современных языках (Java, Scala, Python, Kotlin) — Практический опыт работы с Kubernetes: деплой и эксплуатация рабочих нагрузок, отладка сбоев, работа с основными концепциями (Deployments, ConfigMaps/Secrets, Services, resource limits) — Отличные коммуникативные и командные навыки — Ценность простоты и производительности кода Будет плюсом: — Понимание жизненного цикла ML-проектов — Опыт работы с MLOps платформами, такими как Kubeflow или MLFlow — Опыт с ML-фреймворками: scikit-learn, LGBM, Tensorflow, PyTorch — Опыт работы с Big Data инструментами: Spark, S3, Hadoop — Глубокие знания контейнеризации и оркестрации (Docker, Kubernetes) — Опыт DevOps и CI/CD практик — Опыт создания и масштабирования инструментов для обслуживания моделей, включая построение API с жесткими SLA — Страсть к инженерной стороне машинного обучения и масштабированию — Опыт проектирования и построения MLOps инфраструктуры, включая конвейеры данных, системы обучения и деплоя моделей, а также инструменты мониторинга и управления.

What you will do Collaborate with UX designers, Product Management, and engineering teams to deliver robust security features alongside an optimal user experience. Work cross functionally with product squads and go-to-market teams to ensure smooth release of new features and products.

Location: Remote Workplace: remote 🌎 About Us TeamSnap is made up of innovators, technologists, builders, and problem-solvers shaping the future of youth sports. We’ve been setting the standard in youth sports technology since we were founded in 2009.  We hire for big ideas and tiny egos — which is part of how we landed on Outside Magazine's Best Places to Work, Built In's 100 Best Remote-First Places to Work and, for several years running, Sports Business Journal’s Best Places to Work in Sports.   TeamSnap is seeking a Staff Software Engineer (Android) to lead advertising on our next-generation Android app. You'll set the technical direction for how ads come to life in the app: designing a scalable, privacy-conscious ad platform and building ad experiences that feel native to how families use TeamSnap. Along the way, you'll help shape the architecture of a modern Kotlin and Jetpack Compose app used by millions. We’re looking for critical thinkers who are excited to jump in and make an impact! We're looking for people with big ideas and tiny egos. No matter what your “job” is, you’re welcome to suggest better ways of doing anything. Our team values collaboration in a remote culture, so we regularly participate in pair sessions and virtual team swarms to stay connected and improve the team and company. What You'll Do: Architect and evolve TeamSnap's Android ad platform as a reusable, well-tested layer the whole app can build on Deliver display, native and video ad experiences across the app that fit naturally with the product Build privacy and consent into the ad stack from day one, in partnership with Legal/Privacy Make sure our app loads fast, renders smoothly, and is a delight to use Partner with Brands & Advertising, Product, Design and Data to define the roadmap, measure revenue and engagement impact, and iterate Shape the broader architecture of our Kotlin and Jetpack Compose app, including modularization and build health Lead cross-team technical initiatives through design docs, RFCs and hands-on work; mentor engineers and set Android standards with our iOS team What You'll Bring: Extensive experience building and shipping Kotlin Android apps at scale, including technical leadership at Staff level or equivalent Deep hands-on experience with Google Ad Manager on Android: native custom formats, key-value targeting, ad lifecycle and refresh, and debugging fill and delivery problems Experience with ad verification and measurement: DoubleVerify, IAS, or Open Measurement (OM SDK) and viewability Strong experience with modern Android: Jetpack Compose, Coroutines/Flow, Hilt, and multi-module architecture A track record of designing systems from scratch and leading them through launch across teams Nice to Have: Experience shipping video ads, such as the Google IMA SDK with ExoPlayer/Media3 or similar Ads in live streams (SSAI, ad breaks in live content), or experience with Amazon IVS Experience with apps for families or youth, and COPPA considerations BLE hardware integrations, or subscriptions (Play Billing, RevenueCat, Superwall) 🖥 Location TeamSnap is a fully remote company, so you'll need to be comfortable working with people in other time zones. We're always expanding, but we can't currently hire in Alabama, Alaska, Delaware, District of Columbia, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Rhode Island, South Dakota, West Virginia, or Utah. We can only hire permanent US residents at this time. 🚀 Opportunities to Grow We work hard on a culture built on trust, accountability, and inclusion — one where you can take on more, make a lasting impact, and have some fun doing it. 🎩 Total Rewards Remote-first since 2009 Flexible PTO and parental leave 100% premium coverage of medical, dental, and vision for you and your family 401(k) to invest in your future $1,500 annual learning and development reimbursement Travel to all-company meetings and team events Generous home office allowance TeamSnap swag when you start, plus a $50 store credit on every work anniversary Monthly health and wellness reimbursement, and more TeamSnap Total Rewards 🏆  Award-winning Culture At TeamSnap, you're not a culture fit – you're a culture add. Read our Culture Playbook to see how we play, what we ask of each other, and what drives us. 🧡 Inclusion and Diversity Creativity and innovation don't come from cookie-cutter teams. We hold ourselves accountable for building a culture where everyone is valued. Need any accommodations during the interview process? Just ask. We are an Equal Employment Opportunity Employer. AI Notice We may use AI tools to support parts of the hiring process, such as reviewing applications and resumes or assessing responses. These tools assist our recruitment team; they don't replace human judgment, and final hiring decisions are made by people. Contact us if you'd like more information about how your data is processed.

Location: San Francisco; London; Seattle; New York City; Toronto ABOUT THE ROLE The Enterprise Trust & Governance team builds the control plane that lets the world’s largest organizations deploy Perplexity broadly and with confidence. Computer and our agents work across a growing share of our customers’ environments, tools, and models. For administrators, that makes precise, enforceable control essential: who can do what, with which data, through which agents, and within what usage limits. This team makes those controls easy to manage, reliable and consistent across every product, and transparent to the people accountable for them. This is a product and platform engineering role with end-to-end ownership, from shaping the architecture and policy models to shipping the experiences our customers’ administrators and security teams use every day. You’ll work across product and infrastructure teams to turn complex enterprise requirements into reusable primitives and intuitive controls. The scope spans identity and provisioning, fine-grained role-based access across connectors, tool actions, and models, customer-managed encryption keys, admin APIs, audit logs, and policy and usage controls. Strong governance helps enterprises move from pilots to company-wide rollouts and gives them the confidence to entrust agents with greater responsibility over time. KEY RESPONSIBILITIES - Own enterprise identity and provisioning, including SSO (SAML/OIDC), SCIM, WorkOS integrations, and support for identity providers such as Okta and Microsoft Entra ID. - Build the permissions platform, with fine-grained roles and permissions for connectors, tool actions, models, and model effort levels, enforced consistently across products and agent workflows. - Design and ship secure, well-documented admin APIs for audit logs, members, groups, roles, and settings. - Build policy controls for model and feature availability, staged rollouts, model deprecations, usage and spend limits, alerts, and cost-center allocation. - Build admin-facing analytics for adoption, usage, spend, and policy enforcement, helping organizations measure value and manage their deployments. - Deliver audit logs and change notifications that help administrators investigate activity, track configuration changes, and support compliance. - Set the technical bar for authorization correctness and reliability, with fast, consistent, explainable permission checks, well-defined failure behavior, and strong tenant isolation. - Partner with Product, Design, Security, Sales, and Customer Success to translate complex enterprise requirements into reusable platform capabilities and intuitive admin experiences. QUALIFICATIONS - 4+ years of software engineering experience, with a track record of owning complex backend systems from design through production operation. - Strong system design skills, including building reliable, scalable, multi-tenant SaaS platforms with clear security and isolation boundaries. - Strong proficiency in a backend language such as Python, Go, or Rust, and hands-on experience with cloud infrastructure such as AWS and Kubernetes. - Deep expertise in at least one of the following: - Enterprise identity and provisioning, including OAuth, OIDC, SAML, and SCIM. - Permissions platforms, fine-grained authorization, and policy enforcement. - Encryption, customer-managed keys, and key lifecycle management. - Enterprise admin platforms, audit infrastructure, or usage and spend analytics. - Experience building or integrating enterprise identity and access systems, including platforms such as WorkOS, Okta, or Microsoft Entra ID. - Sound technical judgment in security-sensitive systems, balancing threat models, authorization correctness, and failure behavior with usability and delivery speed. - A track record of leading ambiguous, cross-team initiatives from architecture through adoption, setting technical direction for shared platforms, and raising engineering quality through mentorship. If you’re excited about this role, we encourage you to apply even if you don’t meet every qualification. We value demonstrated impact, deep ownership, and the initiative to turn ambiguity into results.