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Location: Rennes Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: With flexible, distributed-first ways of working, you'll have the support to do your best work, wherever you are. As the Lead Identity & Access Management Specialist you will be the primary architect and team leader driving our cloud application security posture. Your mission is to balance business agility with absolute data protection across our sprawling SaaS ecosystem (including M365, Slack, Salesforce, etc). In this role, you will bridge the gap between user enablement and risk management by owning Identity and Access Management (IAM), deploying SaaS Security Posture Management (SSPM) tools to prevent configuration drift, and governing the entire lifecycle of our business applications. Crucially, you will lead, mentor, and scale a high-performing team of IT engineers with a strong security mindset, fostering a collaborative culture rooted in automation and proactive risk reduction. Your Impact: By building and automating robust Identity pipelines: You will design, configure, and maintain our Identity Providers (IdP) using SAML 2.0, OIDC, and OAuth 2.0. You will leverage SCIM to automate provisioning and ensure immediate, airtight offboarding to prevent orphan accounts. By hardening our SaaS posture against configuration drift: You will deploy and manage SaaS Security Posture Management (SSPM) tools. You will establish and enforce security baselines (such as CIS benchmarks) across our key tools, catching unauthorized administrative changes in real time. By governing the security of third-party integrations: You will audit, restrict, and manage OAuth permissions granted to third-party add-ons and AI extensions, ensuring our enterprise data remains inside approved boundaries. By mitigating Shadow IT and assessing third-party risk (TPRM): You will analyze CASB, proxy, and endpoint logs to discover unauthorized SaaS usage. You will partner with Procurement to assess the security profiles of new software vendors by auditing SOC 2 reports, ISO certifications, and CAIQ sheets. By championing technical leadership and team growth : You will build, mentor, and guide a dedicated team of IT professionals. By establishing engineering best practices, leading agile workflows, and promoting continuous learning, you will multiply your impact across the entire organization and cultivate the next generation of cloud security talent. Your Qualifications: Experience: 5+ years of dedicated experience in Cloud Security, IAM Administration, or IT Security Operations, including 1-2 years of experience leading, mentoring, or acting as a technical coordinator for other engineers. Technical Skills: Deep expertise in identity protocols: SAML 2.0, OIDC, OAuth 2.0, and SCIM. Hands-on administration experience with modern IdPs (Okta or Microsoft Entra ID / Azure AD). Scripting capabilities in Python, PowerShell, or Bash to automate security workflows and interact with SaaS APIs. Soft Skills: Exceptional collaboration and communication skills to explain complex security practices to non-technical stakeholders, combined with a pragmatic, problem-solving mindset and proven leadership capabilities to unblock and motivate team members. Standout Qualities: You hold an industry-recognized Cloud Security certification like CCSP or CCSK (Cloud Security Alliance). You hold a specialized identity certification like Microsoft SC-300 or an Okta Certified Professional/Administrator credential. You have direct experience deploying and running enterprise-grade SSPM or DSPM solutions (e.g., Wiz, AppOmni, Reco, or Defender for Cloud Apps). Leadership Excellence: You have a proven track record of designing technical roadmaps, translating business objectives into actionable engineering sprints, and successfully leading a small-to-midsize IT or Security team through complex migrations or infrastructure overhauls. Team Dynamics: Reporting: You will report directly to IT Ops Lead, joining a team that values proactive protection and automated operations. The Neighborhood: You will collaborate daily with IT Operations, HR Ops (for automated onboarding/offboarding workflows), Security, Procurement (for vendor assessments), and departmental leads across the company. Our Work Style: We operate in a highly flexible, remote-friendly, and data-driven environment. We live in Wrike for project management, utilize Okta / Entra ID, and scripting (Python, PowerShell) for API-driven automation. Our Philosophy: We follow a Zero Trust security approach. We believe in securing through smart automation and user education rather than simply "blocking" productivity tools. Benefits & Perks: 6 weeks of paid vacation + 5 RTT Recovery Days + Seniority Leave Parental Leave: 16 Weeks Maternity / 4 Weeks Paternity + Reserved Daycare Spot Health Insurance - Competitive Coverage - for employees + dependents Hybrid Work – Flexible hybrid working model with a monthly home office allowance of €20 (hybrid) or €50 (fully remote). Public transportation: Coverage of 75% of subscription fee / Sustainable mobility package 200€/year CSE Specific Benefits i.e. vacation vouchers, negotiated fees etc. Your recruitment buddy will be Alexandra Vorobyova , Lead Recruiter. #LI-AV1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Location: Prague Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: With flexible, distributed-first ways of working, you'll have the support to do your best work, wherever you are. As the Lead Identity & Access Management Specialist you will be the primary architect and team leader driving our cloud application security posture. Your mission is to balance business agility with absolute data protection across our sprawling SaaS ecosystem (including M365, Slack, Salesforce, etc). In this role, you will bridge the gap between user enablement and risk management by owning Identity and Access Management (IAM), deploying SaaS Security Posture Management (SSPM) tools to prevent configuration drift, and governing the entire lifecycle of our business applications. Crucially, you will lead, mentor, and scale a high-performing team of IT engineers with a strong security mindset, fostering a collaborative culture rooted in automation and proactive risk reduction. Your Impact: By building and automating robust Identity pipelines: You will design, configure, and maintain our Identity Providers (IdP) using SAML 2.0, OIDC, and OAuth 2.0. You will leverage SCIM to automate provisioning and ensure immediate, airtight offboarding to prevent orphan accounts. By hardening our SaaS posture against configuration drift: You will deploy and manage SaaS Security Posture Management (SSPM) tools. You will establish and enforce security baselines (such as CIS benchmarks) across our key tools, catching unauthorized administrative changes in real time. By governing the security of third-party integrations: You will audit, restrict, and manage OAuth permissions granted to third-party add-ons and AI extensions, ensuring our enterprise data remains inside approved boundaries. By mitigating Shadow IT and assessing third-party risk (TPRM): You will analyze CASB, proxy, and endpoint logs to discover unauthorized SaaS usage. You will partner with Procurement to assess the security profiles of new software vendors by auditing SOC 2 reports, ISO certifications, and CAIQ sheets. By championing technical leadership and team growth : You will build, mentor, and guide a dedicated team of IT professionals. By establishing engineering best practices, leading agile workflows, and promoting continuous learning, you will multiply your impact across the entire organization and cultivate the next generation of cloud security talent. Your Qualifications: Experience: 5+ years of dedicated experience in Cloud Security, IAM Administration, or IT Security Operations, including 1-2 years of experience leading, mentoring, or acting as a technical coordinator for other engineers. Technical Skills: Deep expertise in identity protocols: SAML 2.0, OIDC, OAuth 2.0, and SCIM. Hands-on administration experience with modern IdPs (Okta or Microsoft Entra ID / Azure AD). Scripting capabilities in Python, PowerShell, or Bash to automate security workflows and interact with SaaS APIs. Soft Skills: Exceptional collaboration and communication skills to explain complex security practices to non-technical stakeholders, combined with a pragmatic, problem-solving mindset and proven leadership capabilities to unblock and motivate team members. Standout Qualities: You hold an industry-recognized Cloud Security certification like CCSP or CCSK (Cloud Security Alliance). You hold a specialized identity certification like Microsoft SC-300 or an Okta Certified Professional/Administrator credential. You have direct experience deploying and running enterprise-grade SSPM or DSPM solutions (e.g., Wiz, AppOmni, Reco, or Defender for Cloud Apps). Leadership Excellence: You have a proven track record of designing technical roadmaps, translating business objectives into actionable engineering sprints, and successfully leading a small-to-midsize IT or Security team through complex migrations or infrastructure overhauls. Team Dynamics: Reporting: You will report directly to IT Ops Lead, joining a team that values proactive protection and automated operations. The Neighborhood: You will collaborate daily with IT Operations, HR Ops (for automated onboarding/offboarding workflows), Security, Procurement (for vendor assessments), and departmental leads across the company. Our Work Style: We operate in a highly flexible, remote-friendly, and data-driven environment. We live in Wrike for project management, utilize Okta / Entra ID, and scripting (Python, PowerShell) for API-driven automation. Our Philosophy: We follow a Zero Trust security approach. We believe in securing through smart automation and user education rather than simply "blocking" productivity tools. Benefits & Perks: 5 Weeks of paid vacation Sick Leave Compensation 5 Paid Uncertified Sick Days 2 weeks fully paid w/ medical certificate, additional 4 weeks paid at 80% salary rate Parental Leave (fully paid): 18 Weeks Maternity / 4 Week Paternity 2 Volunteer Days Meal Vouchers (CZK 220 per working day) Annual Prague Travel Card (Lítačka) Hybrid Working Model Benefit budget with flexible options, including a MultiSport card, Canadian Medical membership, contributions to a pension savings plan and additional choices available through Benefit Plus Your recruitment buddy will be Alexandra Vorobyova , Lead Recruiter. #LI-AV1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Location: Ukraine; North Macedonia; Turkey; European Union; Serbia; Bosnia; Georgia Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE We are looking for a Senior AI Engineer to own and scale the AI layer of one of our core D2C subscription products. You will be fully responsible for production LLM features and the browser automation built around them end to end — prompt systems, structured outputs, evaluation, observability, and model selection — from first experiment to live release, with quality, reliability, and cost as your accountability. This is a high-impact role suited for someone who decides with data, not intuition. Unmeasured prompt changes, untraced failures, and model swaps without benchmarks are not acceptable. You work in a modern TypeScript stack — Next.js, Cloudflare Workers and Containers with Hono, Hatchet task queues, Drizzle on Supabase Postgres, Vercel Blob. Browser automation on Browserbase and Playwright is roughly half of the job. KEY RESPONSIBILITIES PROMPT SYSTEMS & STRUCTURED OUTPUTS - Design dynamic prompt templates with conditional logic and context injection that maximise generation quality - Enforce predictable outputs with JSON mode, function calling, Zod/JSON schemas, validators, and repair loops - Own complex LLM workflows (LangChain, LlamaIndex, or custom) that integrate cleanly into application logic BROWSER AUTOMATION - Build and maintain browser automation on Browserbase Functions and Playwright that traverses web flows reliably - Classify screens with a model inside each traversal, and decide what the model handles versus deterministic code - Ship automations as frozen, published workers — versioned, reproducible, and safe to roll back - Orchestrate runs through Hatchet with retries, timeouts, and failure traces that explain every broken run EVALUATION & EXPERIMENTATION - Build evaluation pipelines — test datasets, LLM-as-a-judge, RAGAS-style metrics — and score responses and screen classifications in Langfuse - Trace complex LLM chains to find bottlenecks in cost, latency, and context-window usage - Run A/B experiments across models and prompts through an AI gateway (OpenRouter, Cloudflare AI Gateway); release only on quantitative benchmarks - Re-evaluate models as new architectures emerge; fine-tune when domain requirements demand it PRODUCTION OWNERSHIP - Take AI features from experiment to live production on Cloudflare Workers and Containers, and stay accountable after release - Manage rate limits, fallbacks, and model cost so features stay reliable at scale - Resolve production incidents in owned AI and automation systems with documented root-cause analysis QUALIFICATIONS MUST-HAVE EXPERIENCE - 【5+】 years of software engineering with Node.js, TypeScript, Next.js, and Postgres, including edge or serverless runtimes such as Cloudflare Workers - Production browser automation with Playwright (Browserbase or similar): resilient selectors, retries, failure handling at scale - Production experience with dynamic prompting — content that depends on input variables and injected context - Structured outputs in production: JSON mode, function calling, Zod/JSON schemas - Experience with unified LLM APIs or AI gateways (OpenRouter, Cloudflare AI Gateway): rate limits, fallbacks, cost-effective model selection - LLM observability with Langfuse or similar: tracing, test datasets, scoring integration - Evaluation methodology: RAGAS or custom LLM-as-a-judge systems LEADERSHIP ATTRIBUTES - Decides on benchmarks and trace data, not intuition - Analytical — converts generation logs into metrics a business can act on - Iterative — builds feedback loops and improves continuously - Owns the outcome from experiment to production, and after - Verifies before trusting — treats LLM output as unproven until validated LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS Discover the perks of being part of our vibrant team! We offer: - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Technical Interview (60 minutes) - Final Interview (30 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

Location: Singapore Workplace: Hybrid About Cantina: Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. About the Role: Cantina is expanding, and we're looking for a Research Scientist to join our growing Singapore team! In this role, you will drive foundational research on video generation models, taking ownership across the full research cycle and driving post-training research. Furthermore, you'll collaborate closely with data, infrastructure, and adjacent modeling teams to translate research findings into durable model improvements. What You’ll Do: - Build and maintain scalable systems for ingesting, preprocessing, and delivering large-scale video data for model training - Design and scale distributed data pipelines for preprocessing, dataset generation, and repeated dataset refreshes - Own workflow orchestration, job scheduling, monitoring, and failure recovery for large-scale data processing jobs - Implement and maintain containerized pipeline infrastructure using Kubernetes or equivalent orchestration systems - Optimize cloud-based data storage and movement across providers (AWS, GCS, or Azure) for cost, throughput, and operational efficiency - Define and implement best practices for dataset storage layout, versioning, caching, retention, and access patterns - Build tooling to support deduplication workflows at scale, including near-dedup pipelines over large video corpora - Research and develop distillation methods for large-scale diffusion and flow-based video generation models, including guidance distillation and adversarial distillation, with a focus on preserving or improving generation quality while reducing inference cost - Develop reward models and preference-based fine-tuning pipelines that align video generation quality with human judgments across dimensions such as aesthetics, motion quality, and prompt adherence - Analyze the relationship between base model behavior and post-training outcomes, and work with the foundation model team to inform pretraining decisions accordingly What You’ll Bring: - Strong hands-on experience building or scaling large-scale data systems or pipelines for machine learning workflows - Experience with distributed data processing frameworks such as PySpark or Ray, and orchestration tools such as Airflow or equivalent - Familiarity with containerization and container orchestration, including Docker and Kubernetes - Experience working with cloud-based data storage and compute (AWS, GCS, and/or Azure), including tradeoffs around cost, throughput, storage layout, and access patterns - Familiarity with video and media processing tools such as FFmpeg, PyAV, DALI, or OpenCV - Familiarity with multimodal or media data, including video, image, text, and audio - Strong research background in post-training methods for large-scale diffusion or flow-based generative models, with deep hands-on experience in distillation across both inference efficiency and quality preservation - Experience with reward modeling or preference-based fine-tuning for generative models, including RLHF, DPO or equivalent alignment approaches - Solid understanding of the interplay between pretraining and post-training, and how base model properties affect distillation and fine-tuning outcomes - Proficiency in Python and modern machine learning frameworks, with a strong preference for PyTorch or JAX - Track record of independent research, with the ability to drive projects from initial idea through experimental validation - Publications at top-tier venues (NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV) preferred - Good understanding of the practical challenges involved in building reliable, scalable, and reproducible data workflows for machine learning systems Benefits We Offer: - Competitive salary and generous company equity - Personal time off and paid holidays - Health insurance - Global travel insurance: Covers you when traveling internationally - Monthly spending stipend: $500 (~S$635) - Equipment: All equipment needed for your home office

Location: Berlin Workplace: Hybrid OUR STORY: Every year millions of people are either filing their taxes in fear or giving up on their tax refund altogether. We're working on fixing that. Our intuitive app enables anyone, regardless of education or background, to file their taxes with newfound confidence. Spread across Germany, Spain and the UK, the team at Taxfix Group with its brands Taxfix and Steuerbot, is a compassionate group of solution-finders. We speak our minds openly, and with over 400 professionals, including tax experts, developers, and IT security experts, we're rich in ideas and voices. The group has facilitated more than 3.5 billion euros in tax refunds for its customers since its founding in 2016. ROLE SUMMARY You own the marketing-technology layer behind Taxfix's growth: the conversion signals that tell ad networks who converted, the customer data that powers CRM, the consent flows that decide what we may share and with whom, and the referral program, one of the growth mechanics the team owns end to end. This is a senior individual-contributor role with no direct reports. You set direction for a small engineering team (a tech lead plus 3–4 engineers, two-week sprints) that supports four products across three markets, with Paid Acquisition, CRM, Brand and Creative as internal customers. A typical week mixes debugging a missing ad-network event, scoping a referral reward, settling a data-sharing question with Legal, and explaining trade-offs to leadership. All work, including across markets, happens in English; German is not required. WHAT YOU'LL DO - Own conversion-signal engineering for paid acquisition: client-side and server-to-server events into Singular, Firebase/GA4, Google Ads and TikTok, including synthetic events, revenue values and predicted-LTV signals. - Run the referral program as a product: reward mechanics, eligibility and fraud rules, voucher infrastructure (Voucherify), the in-app voucher wallet, entry points, and the experiments that tune them. - Grow push and marketing-consent opt-in through permission primers, iOS/Android OS permission flows and notification preferences. - Keep CRM data trustworthy: Braze attributes and events, Snowflake-to-Braze syncs, event-loss monitoring, and moving legacy messaging (SendGrid, Firebase) onto Braze. - Turn consent and privacy requirements into product behaviour, and work with Legal on what data can go to which partner. - Adapt tracking, CRM attributes and attribution to company launches, such as new subscription pricing tiers, without breaking downstream campaigns or reporting. - Turn stakeholder requests, support escalations and spike findings into tickets engineers can start on, and decide what goes into the sprint. - Weigh roadmap work against platform upkeep: pipeline migrations, security fixes, end-of-life SDKs. - Design A/B tests (Eppo) and read the results for marketing and consent opt-s, and referral changes. - Report progress, risks and trade-offs in writing to marketing leadership, including VP and C-level. MUST-HAVE SKILLS AND EXPERIENCE - Several years as a product manager owning martech, growth infrastructure or data products, setting your own roadmap with senior stakeholders. - Hands-on mobile and web attribution: an MMP (Singular or comparable), server-to-server events, and ad-network conversion setups (Google Ads, TikTok). - Event-tracking depth: you can define an event schema, write a tracking spec, and trace a missing or duplicated event through Segment, Google Tag Manager and the receiving platform. - CRM data platforms, ideally Braze: custom attributes, event-triggered segmentation, data ingestion and sync quality. - Working knowledge of EU consent and privacy: GDPR, consent mode, iOS App Tracking Transparency, and how push permissions behave on iOS and Android. - Experimentation: framing hypotheses, choosing and configuring metrics, judging when a result is real. - Precise writing: specs that engineers (and AI coding agents) can start on without a meeting, and concise updates and decision memos for leadership. - Enough technical fluency to work through trade-offs with engineers across mobile apps (React Native), backend services and data pipelines, and to triage production incidents. NICE TO HAVE - Performance marketing experience with the main app and web acquisition channels (e.g. Google Ads, TikTok). - Referral, loyalty or voucher programs; Voucherify specifically. - Predicted-LTV or value-based bidding signals (e.g. Churney). - Deep linking and deferred deep linking across ad networks. - AI-driven CRM orchestration (Aampe) or creative asset tooling (Frontify, AI creative tagging). - Building AI agents or automation for product and engineering workflows. - Querying data yourself in SQL (Snowflake), and familiarity with dbt and Airflow. WHY TAXFIX?  - A chance to do meaningful, people-centric work with an international team of passionate professionals. - Holistic well-being with free mental health coaching sessions. - A monthly allowance to spend on an extensive range of services that you can use and roll over as flexibly as you like. - Employee stock options for all employees—because everyone deserves to benefit from the success they help to create. - 30 annual vacation days and flexible working hours. - A generous learning budget to support your personal and professional development and guidance from our internal L&D experts. - Work from abroad for up to six weeks every year. Just align with your team, and then enjoy your trip. - Plenty of opportunities to socialise as a team. In addition to internal meetups, our international team hosts regular get-togethers—virtually and in person when possible. - Free tax declaration filing, of course, through the Taxfix app—and internal support for all personal tax-related questions. - Have a four-legged friend in your life? We’re happy to have dogs join us in the office. Excited? So are we. Check out our Life at Taxfix https://www.linkedin.com/company/taxfix/life/8684512c-424f-44de-8d07-6e6b516e3319/?viewAsMember=true page on LinkedIn to get a glimpse of our culture. At Taxfix, we believe that incredible things happen when you have a wealth of perspectives and experiences. We're proudly committed to equal employment and development opportunities no matter your gender, race, religion, age, sexual orientation, colour, disability, or place of origin. To help mitigate any potential unconscious biases, we ask that you refrain from including your picture, age, or marital status on your CV. Let your experiences speak for themselves. Not sure if you meet all the requirements for this role? Please apply anyway. You might bring something special to the team that we hadn't considered previously.

Location: Singapore Workplace: Hybrid About Cantina: Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. About the Role: Cantina is looking for a Member of Technical Staff to join our growing Singapore research team. In this role, you will shape the data and evaluation strategies behind our video generation models. You will own the full data lifecycle—from defining data requirements and annotation standards to building high-quality datasets, evaluating model outputs, and translating findings into actionable recommendations for model improvement. You will work closely with research scientists, machine learning engineers, product teams, and external data partners to strengthen the data–model–evaluation feedback loop. What You’ll Do - Define quality standards for video generation across aesthetics, realism, composition, motion, temporal consistency, instruction following, subject consistency, editing preservation, and text rendering. - Evaluate model iterations, analyze failure patterns, and translate findings into actionable data, training, and prompting strategies. - Own end-to-end training data projects, including sourcing, construction, annotation, captioning, quality control, and delivery. - Develop labeling systems that support dataset segmentation, coverage analysis, quality filtering, training-data mixtures, and model performance attribution. - Design annotation and captioning standards for video generation, editing, and multi-reference tasks. - Create and evaluate synthetic-data workflows based on their stability, usability, quality, and training value. - Develop automated annotation and filtering workflows using vision-language models, system prompts, and quality-scoring models. - Build structured model evaluation processes covering test-set design, evaluation criteria, failure attribution, and reporting. - Establish feedback loops connecting model evaluation and negative-case analysis with data strategy and model iteration. - Train and calibrate annotation teams and external data partners, conduct quality audits, and improve delivery standards. - Partner with research, engineering, product, and creative teams to execute data initiatives and identify future model capabilities. What You’ll Bring - Hands-on experience in data strategy, dataset development, annotation, or model evaluation for generative image, video, or multimodal models. - Experience supporting model development across continued training, supervised fine-tuning, post-training, or evaluation. - Strong understanding of generative media tasks, including image and video generation, multimodal generation, and instruction-based editing. - Experience developing labeling taxonomies, annotation guidelines, captioning standards, quality thresholds, and evaluation frameworks. - Strong visual judgment and the ability to translate subjective quality expectations into measurable data and evaluation standards. - Experience managing large-scale data-production or annotation projects and collaborating with research, engineering, creative, and external partner teams. - Familiarity with automated captioning, synthetic-data generation, vision-language models, prompt design, Python, SQL, or other data and workflow automation tools is a plus. Benefits We Offer: - Competitive salary and generous company equity - Personal time off and paid holidays - Health insurance - Global travel insurance: Covers you when traveling internationally - Monthly spending stipend: $500 (~S$635) - Equipment: All equipment needed for your home office

Location: Singapore Workplace: Hybrid About Cantina: Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. About the Role: Cantina is expanding, and we're looking for an ML Engineer to join our growing Singapore team! In this role, you will build and scale systems for ingesting, processing, and delivering large-scale video and multimodal data for model training. You'll own the full pipeline — from raw content to curated, filtered, and training-ready datasets — with a focus on speed, reliability, reproducibility, and cost-efficiency. You'll partner closely with curation and modeling teams to operationalize evolving dataset recipes and iterate on approaches that improve model outcomes. What You’ll Do: - Design and scale distributed data pipelines for preprocessing, dataset generation, and repeated dataset refreshes - Own workflow orchestration, job scheduling, monitoring, and failure recovery for large-scale data processing jobs - Implement and maintain containerized pipeline infrastructure using Kubernetes or equivalent orchestration systems - Optimize cloud-based data storage and movement across providers (AWS, GCS, or Azure) for cost, throughput, and operational efficiency - Define and implement best practices for dataset storage layout, versioning, caching, retention, and access patterns - Design and implement curation pipelines that determine which video and image content is selected, filtered, and retained for model training, including image-text pair datasets used in joint training regimes - Build and improve VLM-based captioning and metadata generation workflows at scale across both video and image data - Develop and apply quality and aesthetic scoring models, CLIP-based semantic filtering, and other signal-extraction approaches for data selection - Build tooling to support deduplication workflows at scale, including near-dedup and exact deduplication pipelines over large video corpora - Analyze dataset composition, identify quality issues, and iterate on curation logic to improve training outcomes - Define and evolve standards for what constitutes high-quality, training-ready video data across different training regimes What You’ll Bring: - Strong hands-on experience building or scaling large-scale data systems and pipelines for machine learning, including dataset curation, filtering, and quality improvement - Experience with distributed data processing frameworks such as PySpark or Ray, and orchestration tools such as Airflow or equivalent - Familiarity with containerization and container orchestration, including Docker and Kubernetes - Experience working with cloud-based data storage and compute (AWS, GCS, and/or Azure), including tradeoffs around cost, throughput, storage layout, and access patterns - Experience with VLM-based captioning pipelines or quality/aesthetic scoring models for video or image data, including curation of image-text pair datasets for joint image-video training - Familiarity with CLIP-based or embedding-based filtering and semantic data selection techniques - Familiarity with video and media processing tools such as FFmpeg, PyAV, DALI, or OpenCV, and relevant libraries such as Decord, torchvision, PyTorchVideo, or torchaudio - Proficiency in Python - Strong problem-solving, communication, and documentation skills Benefits We Offer: - Competitive salary and generous company equity - Personal time off and paid holidays - Health insurance - Global travel insurance: Covers you when traveling internationally - Monthly spending stipend: $500 (~S$635) - Equipment: All equipment needed for your home office

Location: Singapore Workplace: Hybrid About Cantina Cantina Labs develops social AI technologies, including real-time models that enable expressive, lifelike characters. Our work connects advances in video generation and multimodal AI with new ways for people to create, communicate and interact. These capabilities underpin our flagship platform, Cantina, and the broader experiences we are building. About the Role We’re looking for a Visual Data Curation Specialist to join our growing research team in Singapore. You will identify and evaluate image and video sources that support the development of our video generation and multimodal models. This role combines visual expertise, research and analytical judgment. You’ll work closely with researchers and engineers to understand data requirements, translate them into sourcing priorities, and develop a systematic approach to assessing content quality and relevance. You’ll own sourcing and curation projects from initial discovery through review and refinement, helping the team make better decisions about the visual data used in model development. What You’ll Do - Identify and evaluate image and video sources across creator communities, specialist websites, archives and platforms such as YouTube, TikTok, Bilibili, Instagram and Vimeo. - Partner with researchers to translate model development priorities into clear sourcing briefs, selection criteria and content categories. - Assess content across aesthetics, technical quality and research relevance, considering factors such as composition, lighting, resolution, camera movement, subject motion and visual consistency. - Build and maintain a structured source catalogue with representative examples, relevant metadata, quality assessments and clear recommendations. - Identify gaps in coverage across subjects, styles, environments and types of motion, and propose targeted sourcing approaches to address them. - Review sample content with research and engineering colleagues, incorporate feedback and refine selection criteria as requirements evolve. - Document source provenance and available usage information, flagging ownership, licensing or access questions for review. - Develop repeatable curation workflows, tagging systems and quality guidelines, and identify tools that improve the efficiency and consistency of the work. What You’ll Bring - Strong visual judgment and the ability to explain how an image or video meets creative, technical, or research requirements. - A background in film, photography, animation, design, visual arts, media, or a related field, demonstrated through education, professional experience, or a portfolio. Prior experience in machine learning is not required. - Strong research skills, including the ability to investigate unfamiliar topics, assess sources, and turn findings into useful recommendations. - A systematic approach to organizing information and confidence using spreadsheets, databases, or digital asset management tools. - Clear communication, with the ability to translate visual observations into precise feedback for technical colleagues. - The ability to work independently, clarify open-ended requirements, prioritize tasks, and take ownership of work quality. - Curiosity about generative AI and the ability to learn new tools and workflows quickly. Prior machine learning experience is not required. Nice to Have - Hands-on experience in photography, filmmaking, video editing, animation, or other visual production. - Experience in content research, editorial curation, digital asset management, or archive research, including knowledge of visual content communities across platforms and cultures. - Familiarity with dataset curation, annotation, quality assurance, or model evaluation. - Experience with generative image or video tools, basic scripting, SQL, or workflow automation. Benefits We Offer - Competitive salary and generous company equity - Personal time off and paid holidays - Health insurance - Global travel insurance: Covers you when traveling internationally - Monthly spending stipend: $500 (~S$635) - Equipment: All equipment needed for your home office

Location: Almaty, Kazakhstan At Bradken , we're equipping the resource sector for a sustainable future. Our products operate in some of the world's toughest mining environments, helping customers improve productivity, reliability, and operational performance. We're seeking a Key Account Manager to lead and grow strategic dealer and customer relationships across our Mining Products portfolio. This is an opportunity to work closely with customers, mine sites and channel partners, delivering solutions that create value while driving profitable growth across the region. About the Role You will play a key role in supporting Bradken's growth across the mining sector by developing strong partnerships, identifying new opportunities, and helping customers achieve better operational outcomes. With a strong focus on Customer Centricity , you'll work closely with dealers and mine site customers to understand their challenges and deliver tailored technical and commercial solutions. You'll demonstrate Innovation by identifying opportunities to improve product performance and uncover new avenues for growth. Through a One Team approach, you'll collaborate with Engineering, Product Development, Manufacturing and Supply Chain teams to ensure customers receive exceptional support and service. Your Impact You will: Develop and grow strategic dealer and key customer relationships across the mining sector. Identify and convert new business opportunities while increasing market share across assigned territories. Provide technical and commercial support across Ground Engaging Tools (GET), Undercarriage and Bucket product lines. Conduct regular site visits to support product performance, strengthen customer engagement and identify operational improvements. Develop account plans, sales forecasts and pipeline reporting through Salesforce. Partner with internal teams to deliver customer-focused solutions and support long-term business growth. Monitor competitor activity, market trends and customer requirements to support strategic decision-making. Support commercial, forecasting and warranty activities to deliver strong customer outcomes. About You You are a commercially minded sales professional who enjoys building trusted relationships, solving customer challenges and developing opportunities that create value. You will bring: Experience in technical sales, account management or mining-related commercial roles. Knowledge of mining, mobile plant, wear products or related heavy industry environments. The ability to engage confidently with both operational and corporate stakeholders. Strong commercial awareness and relationship-building capability. Experience working independently while collaborating across global teams. Proficiency in Salesforce CRM and Microsoft Office applications. Qualifications in Mechanical Engineering, Metallurgy or a related discipline, or equivalent industry experience. Willingness to travel domestically and internationally as required. Fluency in English, Kazakh and Turkish . Job Location: Almaty, Kazakhstan Why Bradken? Everyone has a story. Be part of ours. You'll join a global team that values safety, innovation and collaboration. Working alongside industry experts, you'll have the opportunity to influence customer outcomes, strengthen strategic partnerships and contribute directly to Bradken's continued growth across the region. We offer: Safety-first environment and mindset Flexible work options Competitive Total Reward Packages, including sales incentives EAP for you and your family How We Hire About Our Screening Process As we work with teams around the world, time-zone differences can make live screening challenging. To support a fair, consistent and inclusive evaluation process, we may invite candidates to complete a one-way video screening at a time that suits them. If you require adjustments or an alternative format, we're happy to discuss this with you. Before commencing employment, you will be required to complete a psychometric assessment and pre-employment medical, including drug and alcohol testing. We respectfully request no recruitment agency approaches. Bradken is an Equal Opportunity Employer. We are committed to providing a diverse, inclusive, engaging and flexible environment for our people. All employment decisions are based on merit, competence, performance and business needs.

Location: Hyderabad, India Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Senior Software Engineer Location- Hyderabad, India Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale. We’re looking for a Senior Software Engineer to join our Hyderabad (Hybrid - 3 days from the office) team. In this role, you’ll help us improve code structure and architecture while leading team project planning to maximise efficiency and reliability across our production systems. Get to know our Engineering team — what drives us, how we work, and what you can expect. What You’ll Be Doing Here’s what your day-to-day might look like: Drive Technical Excellence: Improve code structure and architecture across your team’s remit, performing high-impact code reviews to ensure quality and scalability. Lead Project Planning: Foresee dependencies and risks, partnering closely with Product and Design to ensure smooth delivery of complex features. Optimise Operations: Simplify the maintenance and operation of production systems, promoting visibility, health, and operational readiness. Collaborate & Influence: Build relationships across engineering teams to identify collaboration opportunities and influence the wider technical roadmap. Mentor & Hire: Support the personal growth of your colleagues through technical guidance and take an active role in conducting engineering interviews to scale our team. What You’ll Need to Thrive Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others: Strong Engineering Principles: Deep pride in writing readable, well-designed, and well-tested software. Backend Expertise: Significant experience building web-based applications (we use Go, Ruby/Rails, Python, Scala, and Rust). Data Proficiency: Practical experience with relational databases (PostgreSQL, MySQL) and "NoSQL" backends like Redis, DynamoDB, or ElasticSearch. Systems at Scale: Proven ability to manage web architecture at scale (handling 20krpm and above). Technical Leadership: Experience breaking down large pieces of work and guiding implementation choices for a team of engineers. Why Join Us? At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community organisers, proud parents, and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog . We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: CAN: Vancouver (333 Seymour St); AU: Melbourne: (260 Burwood Rd) Workplace: Hybrid The role and its impact As a Senior Engineer on the Enterprise Platforms team, you will provide technical expertise across the platforms, integrations, automations, and AI tools that support Xero’s global teams. You will help navigate complex technical challenges from planning through implementation, keeping systems secure, reliable, scalable, and easy to use. Serving as a trusted technical guide, you will offer practical advice on system changes, incidents, and continuous improvement. Working alongside your Platform Lead, you will improve technical standards, reduce system clutter, and build reusable solutions that make daily work smoother for everyone. The team and how they connect The Enterprise Platforms team partners closely with Product Managers, Analysts, Security, Architecture, and Operations to deliver sensible internal solutions. They look after Xero's core SaaS platforms, cloud services, and custom integrations, collaborating through configuration sessions, pair problem-solving, and shared learning. Together, the team focuses on streamlining workflows and maintaining operational excellence across internal technologies. Initially, you will focus on - Enhancing enterprise SaaS platforms, cloud services, and internal automation workflows using APIs and modern platform features. - Designing, developing, and supporting integrations, data migrations, and AI-enabled workflows to connect internal systems safely. - Investigating complex technical incidents, determining root causes, and applying lasting fixes to keep production systems stable. - Creating clear documentation, runbooks, policies, and reusable design patterns to support consistent platform management. Where and how you can work Xero offers a flexible hybrid working model designed to give you balance and connection. You will work from our modern office spaces, coming together with your team on designated boost days to collaborate, connect, and innovate, while enjoying the flexibility to work remotely for the remainder of the week. Here are some of the things we are looking for - A strong background in building, configuring, and supporting cloud services or enterprise SaaS platforms. - Practical experience creating integrations, automations, or system workflows using APIs, scripting, and modern tools. - Demonstrated ability to diagnose technical incidents, resolve root causes, and maintain reliable production environments. - Talent for translating business and user needs into clear, secure, and practical technical solutions. - Expertise in applying security guidelines, access controls, and change management principles within live systems. - Skill in mentoring team members, sharing technical knowledge, and communicating complex technical concepts clearly to diverse stakeholders. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO You’ll join a full-stack data team building the systems making our AI agents measurably smarter with every interaction, building the real-time pipelines, analytics products, and deep personalization primitives that turn millions of conversations into business outcomes. You’ll work across these areas: - Data Foundations: Architect and build our core platform to handle data at scale with low latency. This includes our real-time eventing infrastructure, streaming and batch ETL pipelines, and our Iceberg-based data lakehouse. You will own the systems for interactive OLAP querying, orchestration, and experimentation, ensuring our data is trustworthy, fast, and easy to use for the entire organization. - Memory & Personalization: Power the next generation of intelligent experiences. You will develop the systems for long-term agent memory, build reusable Customer Data Platform (CDP) primitives, and implement the optimization loops that allow our agents to personalize interactions and demonstrably lift business outcomes. WHAT YOU'LL BRING We’re excited to meet candidates who bring depth in one of these areas: Platform Engineering - You have designed, built, and operated large-scale data systems, processing terabytes or petabytes of data with technologies like Spark, Flink, Trino/Presto, and data lakehouse formats like Iceberg or Hudi. - You possess strong backend and distributed systems fundamentals in a language like Go, Scala, or Python. You understand the trade-offs of different storage engines, query plans, and data serialization formats. - You have a history of implementing pragmatic data governance, lineage, and testing. You’ve built platforms that are cost-aware, highly operable, and a delight for other engineers to build upon. - You're well-versed in data modeling best practices (dimensional modeling, star/snowflake schemas, slowly changing dimensions) and know how to optimize analytical query patterns for both traditional OLAP systems and modern cloud data warehouses. Product Engineering - You have a portfolio of shipped data products, including analytics dashboards, data visualization tools, or alerting and exploration systems. - You are a skilled full-stack engineer (e.g., TypeScript/React and a service layer like Go), with a keen eye for performance, API design, and polish. - You excel at turning ambiguous questions into clear, intuitive interfaces. You have strong product sense around information architecture, handling empty states, and making complex data explainable. - You have practical experience with ML-powered product features, such as personalization, recommendations, or classification systems. Shared Qualities - Strong software engineering background with 4-7+ years of hands-on development experience in building and shipping production systems or products. - A passion for being on the frontier of AI products. - High agency and a bias to action in a high-autonomy environment. - Degree in Computer Science or related field, or equivalent professional experience.   EVEN BETTER... - Deep experience with event streaming platforms (e.g., Kafka, Kinesis) and real-time data processing. - Experience with modern data visualization libraries (e.g., ECharts, D3.js) and the principles of building performant, reusable charting components for complex data. - Production experience with recommender systems or optimization loops (e.g., multi-armed bandits, ranking). - A track record of leading complex technical projects or mentoring other engineers. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU’LL DO - Build Sierra’s enterprise platform capabilities. You’ll design and build the foundational systems and capabilities that enable Sierra to serve the world’s largest and most demanding enterprises. This includes the identity, access management, integration points, and extensibility that enterprise customers require to allow customers to embed Sierra into their existing ecosystems. - Scale with our largest customers. Our enterprise customers have complex environments, strict security requirements, and high expectations for reliability. You’ll ensure Sierra’s platform scales across organizations, regions, and use cases while maintaining performance and simplicity. - Form the foundation of trust. Enterprise customers trust Sierra with their most sensitive workflows and data. You’ll help set and uphold a high bar for security, compliance readiness, reliability, and operational excellence across the platform. WHAT YOU’LL BRING - A passion for being on the frontier of AI products. - Pride in building reliable, maintainable, and secure systems that scale. - Motivation and high-agency to drive outcomes - we have a high-autonomy culture and each team member has lots of agency to overcome obstacles and achieve customer impact. - Alignment to our company values throughout your work, notably finding a balance between Craftsmanship, Customer Obsession, and Competitive Intensity. - 4+ years hands-on experience building production products and systems. - Degree in Computer Science or related field, or equivalent professional experience. EVEN BETTER… - Experience building enterprise features such as SSO, RBAC, IAM, audit logs, or compliance-adjacent systems. - Experience with integrations, APIs, and working with complex customer environments. - Backend-leaning full-stack experience building enterprise SaaS applications. - Security-adjacent experience (e.g., auth, permissions, data isolation, threat modeling). - Experience building AI-powered products or platforms. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Remote, Singapore GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Solutions Architect at GitLab, based in Singapore, you’ll help prospects and customers understand how our Agentic DevSecOps platform can support their technical requirements and business goals across fast paced AI-driven software development lifecycles. You’ll act as a trusted technical advisor through complex evaluations, guide teams through digital transformation, and connect customer needs back to our product direction. Reporting to a regional Solutions Architect leader, you’ll work closely with Account Executives and cross-functional partners across Asia. You’ll focus on successful agentic platform adoption, strong technical evaluations, and building trusted relationships that highlight the value we bring in an AI-driven DevSecOps landscape. You’ll work at the intersection of customer outcomes, modern software delivery, cloud, security, and emerging agentic AI workflows, helping organizations ship trusted software at the speed of imagination. What you will do Work with Account Executives and regional sales teams to shape technical account strategies that increase qualified pipeline and support expansion opportunities. Run technical discovery sessions, product demonstrations, and validation activities to define success criteria and accelerate technical validation across the software development lifecycle. Own technical evaluations as the primary point of contact, including proof of concept and proof of value activities, solution design, and workshop delivery that produce documented outcomes and clear next-step decisions. Develop solution architectures that align GitLab capabilities with customer environments, priorities, and operating models to reduce implementation risk and speed time to value. Guide customers on modern software development practices, including continuous integration, continuous deployment, security, and cloud adoption, to improve delivery consistency and security readiness. Build strong relationships with technical practitioners and business stakeholders to strengthen alignment, shorten decision cycles, and support GitLab-based transformation efforts. Create reusable technical examples, best practices, and collateral that improve team effectiveness, reduce time spent recreating customer-facing assets, and inform customer and partner conversations. Provide customer feedback, field insights, and market observations to Product Management, Engineering, Sales, and Marketing to influence roadmap priorities and strengthen market positioning. What you will bring Experience working with customers in technical pre-sales, consulting, or similar customer-facing roles. Minimum 2+ years of presales or equivalent client-facing experience with a total of 5+ years of industry experience is required. Ability to run technical evaluations such as proofs of concept, proofs of value, workshops, tenders, audits, or value stream assessments. Working knowledge of the end-to-end software development lifecycle, including DevSecOps practices and continuous integration and continuous deployment workflows. Competent knowledge of generative AI and agentic technologies will be a plus. Hands-on familiarity with GitLab or similar DevSecOps or software delivery platforms. Clear communication skills with the ability to adapt technical messages for practitioners, technical stakeholders, and senior business stakeholders. Strength in building credibility, listening carefully, developing technical champions and representing customer needs to internal teams. Interest in continuous learning, knowledge exchange, and developing expertise in GitLab, AI, and related cloud technologies. Familiarity with cloud platforms, self-managed environments, or transferable experience from related technical fields is welcomed. About the team We serve as a technical partner for the field, helping customers and internal teams see the value of GitLab's platform approach during complex engagements. We work closely with go-to-market and product organizations, bringing field feedback into conversations about product direction, services, enablement, and value messaging. As a distributed team in an all-remote environment, we rely on clear communication, sound judgment, and common practices to work with customers across regions. We play an important role in GitLab's continued growth by combining technical depth, strong customer relationships, and operational discipline. For more on how we work, see Solution Architecture Handbook . How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Remote, Japan GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Solutions Architect, you'll be a trusted advisor to GitLab customers and prospects in Japan. You'll explain how GitLab's artificial intelligence-powered development, security, and operations (DevSecOps) platform addresses customers' business priorities and technical requirements, helping technical leaders and executives evaluate its value. You'll translate technology into business value and help customers make informed adoption decisions. The initial sale isn't the end of the relationship: you'll support continued adoption, new use cases, and expansion into additional products and editions, helping increase GitLab consumption through greater customer value. What you’ll do Lead structured discovery to understand customer business priorities, development processes, challenges, stakeholders, and success criteria. Connect proposed solutions to business value and return on investment. Collaborate with Account Executives on account strategies and customer action plans that move opportunities from technical evaluation to contract. Lead demos, workshops, proofs of concept or value, architecture design, and technical validation, including Linux-based, self-managed, and air-gapped customer environments. Design roadmaps for DevSecOps and artificial intelligence-enabled development across the software development lifecycle. Address processes, roles, governance, and developer experience. Plan the effort and timelines for migrating continuous integration and continuous delivery pipelines from Jenkins to GitLab. Resolve post-sale adoption challenges with post-sales teams and partners, and identify expansion opportunities across use cases, business units, workloads, products, and editions. Build relationships with developers and business and technical leaders. Explain GitLab's competitive differentiation and address objections about existing tools, overlapping artificial intelligence capabilities, cost, and migration effort. Create reusable proposals, architecture diagrams, proof-of-value plans, executive materials, technical content, and success stories. Present at webinars and marketing events to support pipeline development. Share customer feedback and competitive insights with Product Management, Engineering, Sales, and Marketing. Test GitLab, artificial intelligence, DevSecOps, and cloud technologies hands-on, and mentor team members to share best practices. What you’ll bring Experience in technical pre-sales, solutions architecture, consulting, technical sales, or a similar customer-facing role, using structured discovery, value selling, stakeholder mapping, and consensus building. Practical understanding of the software development lifecycle, DevSecOps, security, and cloud technologies, with experience using GitLab or comparable source control, continuous integration and continuous delivery, and developer collaboration platforms. Experience leading demos, workshops, proofs of concept or value, technical proposals, or solution architecture design, and the ability to discuss deployment, security, and operations with customer technical teams. The ability to explain technical trade-offs and business value to developers, technical leaders, and executives, and collaborate with Account Executives on opportunity strategy, adoption, and expansion. Familiarity with retrieval-augmented generation and Model Context Protocol, and the ability to discuss their use in artificial intelligence-enabled development. The ability to mentor team members, share reusable knowledge, and give and receive feedback with empathy and respect for others' expertise. Fluency in Japanese and professional working proficiency in English. Helpful but not required: a background in software development, systems integration, or project or product management. Other useful experience includes developer productivity, cloud-native technologies, enterprise platform governance and rollout, post-sales recommendations, consumption-based models, or creating reusable technical content. About the team The Solutions Architect team is part of GitLab's Sales organization. We work with Sales, Product Management, Engineering, Marketing, post-sales teams, and partners across regions, collaborating asynchronously to share reusable knowledge and best practices. We learn through hands-on testing and iteration, guided by GitLab's values of collaboration, customer results, efficiency, diversity, inclusion and belonging, iteration, and transparency. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Toronto; Canada; United States Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT THE ROLE. We’re building the next generation of agentic AI infrastructure at Cohere. This team sits at the intersection of ML systems, distributed infrastructure, and developer experience, creating the platform that powers autonomous AI agents at scale. You’ll work on hard, forward-looking problems with few established patterns, including secure code execution, agent state management, model routing, identity and authentication, and resource management for long-running agent workflows. This role is a strong fit for someone who combines systems depth with ML intuition. You should be comfortable building reliable infrastructure, thinking through distributed systems tradeoffs, and understanding how emerging agentic capabilities shape platform design. WHAT YOU’LL WORK ON. - Secure execution environments for agent-generated code - Identity, authentication, and trust boundaries for agents - Model routing and orchestration across different model types and environments - Rate limiting, quotas, and resource management for agent workflows - State management, memory, and filesystem abstractions for agents. IN THIS ROLE YOU WILL: - Turn emerging ML research ideas into production-ready infrastructure - Build core platform capabilities for execution, storage, and state management - Prototype and evaluate new technologies, then help decide what should move into production - Partner with research teams to shape infrastructure based on what future agent systems will need YOU MAY BE A GOOD FIT IF YOU HAVE: - Experience building production ML infrastructure with strong systems fundamentals - Hands-on work with agentic systems, multi-agent workflows, or agent development frameworks - Familiarity with model routing and LLM provider frameworks across different model types and environments - Experience with scalable, fault-tolerant distributed systems and Kubernetes - A track record of moving quickly on prototypes and making good decisions about productionization. BONUS - Experience across on-prem, private cloud, and public cloud environments - Familiarity with storage systems, embedded databases, or filesystem abstractions - Experience with code execution sandboxes such as gVisor, Firecracker, Kata, or WASM runtimes - Interest in emerging ML infrastructure, edge inference, or browser-native models - Open-source contributions to LLM or agent infrastructure projects - Experience with identity, workload auth, or capability-based security systems. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU’LL DO - Build primitives for self improvement: Create the feedback loops, evaluation systems, memory, signals, and decisioning infrastructure that help long-running agents learn from outcomes and improve over time. - Build the future of long-horizon agents: Design and ship agents that pursue complex business outcomes over days, weeks, or months across voice, SMS, email, and other channels. - Turn 0-to-1 work into a platform: Identify patterns and build reusable systems, abstractions, and tools that make future Horizon agents faster and easier to launch. - Solve technically complex problems: Build across orchestration, integrations, data, memory, signals, decisioning, observability, and multi-channel engagement. - Shape the Horizon product: Surface platform gaps through hands-on implementation and work with product and engineering to define Horizon’s architecture and roadmap. - Create a clean path beyond the POC: Once a solution is validated, translate what you built into durable product capabilities and enable a successful handoff for continued deployment. WHAT YOU’LL BRING - Experience building and scaling end-to-end production systems. - Strong platform and systems engineering fundamentals. - The ability to move between customer problems, product design, and technical implementation. - Strong technical judgment in ambiguous, fast-changing environments. - A builder’s mindset and the ability to take products from zero to one. - Comfort working directly with customers and understanding complex business processes. - High agency, adaptability, and clear communication. - At least two years of professional software engineering experience - Experience with Python, TypeScript, or Go and React. EVEN BETTER... - Experience as a founder, founding engineer, or early engineer at a startup. - Experience building workflow, orchestration, event-driven, or distributed systems. - Experience developing platforms or reusable infrastructure for other engineers. - Experience building or deploying AI and LLM-powered products. - Familiarity with enterprise integrations, APIs, data pipelines, and systems of record. - Experience working in complex industries such as financial services or healthcare. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO The agent must collect and use a card number but can never see it. This work sits across four hard technical domains: payments, security, real-time voice, and LLMs. Voice is the core challenge. A caller speaks or types a card number in a live, low-latency audio stream, and the digits must never reach the model, while the model stays on the call. Sierra owns every system that touches card data, and one small team owns it end to end across three workstreams: Platform, Product, and Safety & Integrity. Customers keep their own telephony and payment gateways. Payments is live in production for some of the largest consumer enterprises, on a platform that handles hundreds of millions of calls a year. The platform is certified to PCI DSS Level 1. - Build real-time card capture for voice: intercept keypad and spoken digits in a live audio stream, upstream of the agent runtime in a network-segmented environment, while the LLM stays live on the call. Make it work across every telephony provider and protocol Sierra supports. - Build and extend the tokenization platform: agents receive and send short-lived tokens, and the platform swaps a token for the real value only when it calls the customer's payment gateway. - Own the payments egress control plane: every destination for card data is approved, versioned with the agent release, and enforced by infrastructure below the application, not by convention. - Make payment actions correct: an at-most-once action primitive in the Agent SDK, validated amounts and items, and monitoring that compares what the agent said about a payment with what really happened. - Keep card data out of places it should not be: deterministic detection in the agent's hot path that catches what general-purpose models miss. No LLM, including any we build ourselves, ever sees a plaintext card number. - Make payments self-serve: one payments API across Agent Studio, the Agent SDK, and Ghostwriter, Sierra's agent-building agent; gateway middleware that developers write against tokens; and support for single-tenant and customer-cloud deployments. Any team can add payments to an agent without a payments engineer in the loop. - Grow the platform beyond cards: extend tokenization into a privacy vault for all PII. WHAT YOU'LL BRING - 5+ years building backend, platform, or infrastructure systems, with a track record of shipping and operating high-reliability services in production. - A deep security instinct. You design as though every component will eventually be compromised, and you reason naturally about blast radius, least privilege, and making bad states impossible rather than reacting to them. - Rigor about correctness under failure: retries, idempotency, at-most-once behavior, and clear handling of timeouts and unclear results from external systems. - Fluency in a systems language (we use Go) and comfort owning critical systems end to end, from design through production and on-call. - Range and ownership. You like a small team with broad scope, you build clean abstractions over messy external systems, and you're never satisfied solving a problem once per customer. - Clear communication. You can explain a design or a risk to other engineering teams and to non-engineers. - Degree in Computer Science or a related field, or equivalent professional experience. You don't need payments experience. The engineers who built this platform came from backend, infrastructure, and security work, not payments. We care more about how you build correct, secure systems than about the word "payments" on your resume. EVEN BETTER… - Real-time or streaming systems: voice, telephony, media, or low-latency pipelines. - Applied cryptography and key management, network isolation, egress control, or cloud security. - Platforms other engineering teams build on, such as APIs, SDKs, and self-serve developer services. - Deployments into customer-owned clouds or single-tenant environments. - Customer-facing technical work, such as architecture reviews with customers. - Setting technical direction on ambiguous, high-stakes problems. - Payments, fintech, or another sensitive-data domain such as healthcare or identity. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.