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Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As an engineer on this team, you'll sit at the intersection of IT and facilities. You'll build the power models, availability models, topology and load management requirements that operate more efficiently against our physical envelope. Your work will directly shape which sites we lease, what SLAs we sign, how far we oversubscribe, and where workloads are placed. What You'll Do Topology and load management. Own the power and cooling topology of our fleet as a living dataset, validate it and its telemetry against how the buildings really behave, and define how load management behaves under failure across chips and capacity providers, from requirements through commissioning and incident support. Reliability modeling. Build and audit availability models of data center electrical and mechanical systems, define Cloud availability zones and failure domains, from a single site to the whole fleet. Power modeling and load forecasting. Build models of power draw from chip to rack to facility, by workload and hardware generation, and use them to set capacity planning targets, design envelope, and load forecasting. Partner diligence. Work with data center developers, operators, cloud providers and chip vendors to drive design improvements and hold them to SLA-grade performance, with technical diligence on their architectures, reliability studies, rack power specifications and operator interfaces. What We're Looking For Deep knowledge of data center power distribution and cooling architectures, redundancy schemes, and how they interact with IT load profiles. Depth in at least one of: reliability engineering, power modeling and energy scheduling, or load management and controls (telemetry, IT/OT interfaces, load transfer and shedding systems). Familiarity with SCADA/BMS/EPMS, telemetry pipelines, and control systems. Experience with software that bridges IT and OT. Exposure to accelerator deployments and their power management interfaces, or to capacity overallocation in large compute fleets, strongly preferred. Ability to translate between infrastructure engineering, software teams, legal and commercial teams, and external partners. Required Qualifications Bachelor's degree in Electrical Engineering, Mechanical Engineering, Power Systems, Reliability Engineering, Controls Engineering, or a related field 5+ years of experience in data center infrastructure, facility engineering, or reliability engineering Demonstrated experience with data center power distribution and cooling system architectures, and infrastructure failure mode management Demonstrated experience in at least one of the following: Building quantitative reliability or availability models (Monte Carlo, fault tree, reliability block diagram, or FMEA) Building power, energy or capacity models and forecasts from measured data Building, testing or operating software-based power management, load shedding, or control systems Track record of cross-functional collaboration across hardware, software, and facilities teams Preferred Qualifications Experience in more than one of the three focus areas above Experience with accelerator-class deployments, rack power architectures, and their power management interfaces Experience with integrated systems testing and commissioning (L4/L5), or writing sequences of operation Experience with SLA development, availability commitments, or service credit frameworks in leases or cloud contracts Experience with energy storage, microgrid integration, demand response, or behind-the-meter generation Exposure to ML or optimization techniques applied to infrastructure or energy systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote - European Region Workplace: hybrid Coinspaid Solutions is a fintech company building blockchain payment infrastructure for the global economy. We design, implement, and scale payment systems that connect digital assets with real-world financial operations. Our solutions help businesses and financial institutions operate efficiently in the evolving digital asset landscape. For over 11 years, we’ve been developing products that bring crypto payments closer to mainstream adoption. Today, our team includes 350+ professionals working remotely across multiple countries. We combine the pace of fintech with a long-term approach to building products, teams, and careers. As a remote-first company, we give people flexibility in how they work while maintaining strong collaboration and shared ownership across teams. 🏆 In 2026, Coinspaid was recognized as Best Corporate Culture in the Blockchain Industry in Europe, reflecting our focus on ownership, trust, and collaboration.   As a Lead Product Manager for Processing, you will own the development of one of our core product domains responsible for how payments are initiated, processed, routed, and completed across our platform. This is a hands-on product leadership role. You will shape the domain strategy and roadmap, translate business and customer needs into scalable product solutions, and lead complex initiatives involving multiple product and engineering teams. We are looking for someone who combines strong product management fundamentals with practical payments expertise and a solid understanding of how B2B payment businesses operate in the real world. Responsibilities: Domain Strategy & Vision: Define and evolve the Processing product vision and roadmap; translate company goals, customer needs, market developments, and operational constraints into clear product priorities; maintain a 12–24 month planning horizon Payments Product Development: Own payment-related products and capabilities end-to-end; understand payment flows, methods, routing, settlement, failures, reconciliation and operational implications; identify opportunities to improve conversion, reliability, cost and scalability Cross-Domain Initiatives: Personally lead complex initiatives spanning multiple product domains and teams; identify dependencies, build execution plans, align stakeholders and drive initiatives through delivery rather than relying only on coordination structures Discovery & Solution Design: Structure ambiguous problems, validate hypotheses using data, customer feedback and operational insights; define target solutions and business logic together with Engineering, Design, Operations and other stakeholders Roadmap & Prioritization: Own and continuously prioritize the domain roadmap; balance customer value, revenue opportunities, operational efficiency, technical investments, compliance requirements and delivery capacity Business & OperationsUnderstand how product decisions affect B2B operations; work closely with Operations, Finance, Compliance, Support and commercial teams; identify where operational processes should be automated, redesigned or eliminated through product changes Metrics & Performance: Define domain-level success metrics; monitor payment performance and product outcomes; use data to identify bottlenecks, validate improvements and make prioritization decisions Stakeholder Leadership: Communicate strategy, priorities, trade-offs and progress clearly to Product leadership, executives and cross-functional stakeholders; represent the domain in company-level discussions Product Leadership: Raise the quality of product practices within the domain; support and mentor Product Managers; help teams move from feature delivery toward measurable product and business outcomes What We’re Looking For 5+ years of hands-on Product Management experience, preferably in B2B, FinTech, payments or financial infrastructure Proven experience owning a complex product area or domain, rather than individual features only Practical experience with payments and a strong understanding of payment flows and their operational implications Good understanding of the payments landscape and payment methods, including how different payment rails and methods affect customer experience, economics and operations Strong practical understanding of B2B business operations — how products interact with Operations, Finance, Support, Compliance and commercial processes Proven ability to personally drive complex cross-team or cross-domain initiatives from problem definition through implementation Strong ability to structure ambiguous problems, decompose them into manageable initiatives and establish clear priorities Experience building and managing roadmaps with a 12–24 month planning horizon Strong analytical skills and ability to work with product and operational metrics Ability to communicate complex concepts in a simple, structured way for both technical teams and senior stakeholders Strong ownership mentality: comfortable making decisions, resolving dependencies and moving initiatives forward without requiring constant escalation Experience mentoring Product Managers or contributing to product practices beyond your immediate team Strong written and verbal English, B2–C1+ Strong Advantage Hands-on knowledge of fiat payment infrastructure, acquiring and card payment flows Experience with PSPs, payment gateways, acquiring, alternative payment methods or payment orchestration Understanding of authorization, capture, settlement, reconciliation, refunds, chargebacks and payment failure scenarios Experience with crypto payments, blockchain infrastructure, wallets, custody or digital assets Experience working in regulated financial environments Understanding of payment economics: fees, routing costs, conversion, margins and operational cost drivers Experience designing products that replace or significantly automate manual operational processes Leadership Expectations This role goes beyond managing a backlog or delivering features. We expect a Lead Product Manager to be able to operate at several levels simultaneously: Strategy → Domain → Initiative → Execution You should be comfortable defining where the domain needs to go, translating that direction into concrete initiatives, and stepping directly into execution when a complex problem requires hands-on leadership. The role is designed for a mature product leader who can operate independently today and take on broader product leadership responsibility as the organization and domain evolve. Why should you choose Coinspaid? You’ll be joining a company that is actively shaping its space – with enough scale to matter and enough room to make an impact. At Coinspaid, people are expected to think, contribute, and take ownership – and are supported in doing so. We focus on flexibility, wellbeing, and long-term growth – without overcomplicating how benefits work. Flexible Benefits Benefit Bar – up to €230/monthA flexible monthly budget you can use for what matters most to you – from sports and mental health to coworking, home office, or medical-related expenses. Work & Flexibility Fully remote work from almost anywhere Optional offices and relocation support Flexible, async-friendly environment Growth & Learning Budget for courses, certifications, and professional development Language learning support Cross-team learning and knowledge sharing Wellbeing & Support Medical insurance or reimbursement depending on location Access to mental health support Financial support for important life events Extras Merch shop with rewards system Team offsites and company events   Sounds good? Well then, we can’t wait to see your resume! To learn more please visit: https://coinspaid.com/about-us/ & https://coinspaid.com/careers/

Location: Remote (Canada) Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $169 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. The Data Science & Engineering (DSE) team consists of analytics engineers, data scientists, and software engineers and is responsible for enabling data-driven decision making and building data products at Wealthsimple. The Growth Data focuses on driving new user acquisition and net deposit targets through marketing efforts including paid, organic, and branding initiatives. Our team is structured around key domain areas including promotions, referral and social sharing, paid marketing, and organic/upper funnel marketing measurement. We work closely with cross-functional partners in Growth, Product, and Engineering to optimize our marketing investments and scale Wealthsimple's customer base. The Growth Data team plays a critical role in enabling data-driven decision making across all marketing channels. We're looking for a Senior Data Scientist who will serve as a domain expert for one of our key marketing pillars, driving optimization through sophisticated algorithms, measurement systems, and strategic insights that influence millions of dollars in marketing spend. In this role, you'll be the DRI (Directly Responsible Individual) for your domain area, building data products and analytics solutions that directly impact business outcomes. You'll work on challenging problems ranging from marketing optimization algorithms to attribution modeling, experimentation, and strategic measurement. You'll collaborate closely with marketing stakeholders to understand business needs and translate them into technical solutions, while also partnering with data engineers and other data scientists on shared infrastructure. This is a full-stack data science role where you'll wear many hats: algorithm developer, measurement strategist, analyst, experimenter, and business partner. We're looking for someone who can hit the ground running with strong marketing analytics expertise and contribute to strategic direction from day one. IN THIS ROLE, YOU WILL HAVE THE OPPORTUNITY TO: - Build data products and algorithms that optimize marketing performance—including budget allocation, targeting strategies, and campaign optimization across multiple channels - Design and implement measurement strategies for marketing initiatives, including attribution modeling, incrementality analysis, and multi-touch attribution - Drive marketing strategy through data insights, A/B testing, and causal inference methodologies to maximize ROI on marketing spend - Develop and maintain analytics pipelines and data infrastructure, working collaboratively with data engineers and other data scientists - Conduct exploratory analysis to identify growth opportunities, understand customer behaviour, and optimize marketing tactics - Provide business-as-usual analytics support including reporting, dashboards, and ad-hoc analysis for marketing stakeholders - Leverage AI tooling to handle operational tasks efficiently and focus your expertise on high-impact strategic problems - Partner with ad platforms (Google, Meta, etc.) and internal engineering teams to ensure robust tracking, data integration, and measurement capabilities - Take ownership and ship it—continuously look for the simplest, most effective way to approach challenges; Occam's razor is your friend - Work where you are (while our Canadian offices are located in Toronto, we are a remote-first workforce and you can join from anywhere in Canada!) SKILLS WE ARE LOOKING FOR: - Understanding of digital marketing mechanics including attribution, ad platforms, tracking, and conversion optimization - Experience working with lifecycle data, understands various of ways of reaching out to new/existing customers and how they fit together holistically - Strong technical skills in Python and SQL with experience building production-quality code - Proven track record in algorithm development, optimization problems, or building data-driven decision systems - Strong foundation in causal inference, A/B testing, and experimental design - Excellent communication skills and ability to translate complex technical concepts for non-technical stakeholders - Demonstrated ownership as the data DRI on complex projects end to end, with proactive understanding of business context and how cross-functional teams build systems together WE ARE LOOKING FOR SOMEONE WHO: - Can use AI effectively to increase efficiency and depth of the work, while still providing the strategic guidance and critical thinking - Has full-stack data science experience, comfortable with everything from dashboards and reporting to sophisticated algorithm development - Can contribute to strategic direction in marketing analytics from day one with minimal ramp-up time - Thrives in a collaborative, multi-faceted environment with ongoing alignment across stakeholders and data team members - Is passionate about measurement and understanding what drives business outcomes, navigating the complexities of attribution and incrementality - Ideally has worked at larger-scale tech companies that develop internal analytics and optimization systems - Adjusts quickly to changing priorities and effectively manages complexity in a fast-paced growth environment - Values simplicity and pragmatism, knows when to build sophisticated solutions and when a simpler approach will suffice - Is eager to teach and learn. We value making each other successful! - Is a lifelong learner who's constantly seeking feedback to continue improving their craft WHY YOU'LL LOVE THIS ROLE: - High visibility, high impact: Your work directly affects Wealthsimple's growth bottom line and influences strategic marketing decisions - Diverse technical challenges: Develop expertise across measurement, A/B testing, causal inference, machine learning, and algorithm development - In-demand skill set: Build valuable skills in marketing analytics and optimization that are highly sought after in the tech market - Strategic domain ownership: Own a key pillar of Wealthsimple's growth strategy and build deep expertise in a lasting problem space - AI-enabled efficiency: Leverage cutting-edge AI tooling to amplify your impact and focus on the most strategic challenges WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. COMPANY & FUNCTION OVERVIEW Checkout.com http://Checkout.com is seeking a dedicated individual to join the Treasury New Products function within Group Treasury. This team sits at the critical intersection of product development, commercial strategy, and treasury risk management & execution. Acting as a strategic conduit between product/engineering teams and treasury subject matter experts (SMEs) across multiple disciplines, this team ensures new product initiatives globally—from greenfield launches to complex payment flows—are financially sound, scalable, and compliant. As Checkout.com http://Checkout.com expands its ecosystem, this role will serve as the primary driver and subject-matter expert for digital assets related initiatives from a Treasury perspective. Over time, the role holder will also build a deep, end-to-end understanding of Checkout’s broader infrastructure and product stack, enabling holistic, cross-domain strategic thinking and long-term portfolio diversification. POSITION OVERVIEW In this role, you will be the gateway between Product and Treasury, translating innovative product ideas into methodologies, pragmatic design of processes and putting them into practices. Global Crypto & Blockchain Initiative Leadership across two dimensions: You will act as the dedicated Treasury partner to enable Product-led crypto and digital asset initiatives, while also directly leading Treasury-driven digital asset native projects driving transformation and optimisation. Holistic Checkout Infrastructure and Multi Product Mastery: While taking primary ownership of the digital asset roadmap, you will actively expand your expertise across Checkout’s core non-crypto infrastructure and product stack to ensure seamless integration with the fiat payments ecosystem. CORE RESPONSIBILITIES - Strategic Partnering & Discovery: Work with cross-functional teams (e.g., Product, Engineering, Commercial and Legal) to review and advise on crypto/ digital asset related product development opportunities from the Treasury standpoint, helping to shape the strategy and path for execution. - Single Point of Contact: Act as a primary point of contact for the Product teams, ensuring effective communication and coordination with relevant Treasury (SMEs). And vice versa. - Business Requirement Ownership: Assess impacts for Treasury, and synthesize requirements from Treasury SMEs across different disciplines and geographies—including those related to risk management, bank relations, data, system integration and operational processes—are translated into actionable, prioritised business requirements incorporated into new product development and optimisation efforts. - Digital Asset Native Treasury Leadership: Drive the digital assets native strategy and lead implementation to modernise the approach, infrastructure and tooling for Checkout’s Treasury management, working closely with Product and Engineering teams. - Operational Readiness: Ensure that capabilities, data flows, and risk controls are robustly built, and processes and procedures are stood up before products go live and scale in production. - Cross-domain excellence: Proactively develop all-round knowledge of Checkout’s infrastructure, product stack and flow of funds. Leverage this cross-domain insight to solve complex overlapping challenges between fiat and digital asset products, and contribute to broader New Products deliveries. - New Products governance: Support the documentation and implementation of operating models, frameworks and policies relevant to New Products, and alignment at the Enterprise level REQUIRED SKILLS & EXPERIENCE - Domain Expertise: Practical, hands-on experience operating with crypto wallets, or within the digital assets ecosystems (e.g., at a crypto-native firm, fintech innovator, or digital-asset banking unit). - Treasury or Product Management Background: Hands-on experience in Treasury/Finance change management OR Product Management with direct exposure to complex payment infrastructure, flow of funds, and cash management. - Stakeholder Management: Proven ability to manage multiple workstreams and engage effectively with different stakeholders. - Problem Solving: Strong critical thinking and analytical skills with a proactive approach to problem-solving. - Communications: Strong verbal and written communication skills, with the ability to articulate technical concepts clearly. - Details & Velocity: Excellent attention to detail and ability to thrive in a fast-paced environment. PREFERRED QUALIFICATIONS - Experience in new product assessments, project management, or business advisory roles. - An understanding of complex payment and flow of funds. - Familiarity with financial resource management or cash management practices. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Kyiv; Lviv Workplace: onsite Ajax Systems, an international tech company and the largest manufacturer of security systems in Europe.We are looking for a new team member to join our Video Devices Division as a Computer Vision Engineer . The Video Devices Division is responsible for the full development cycle of Ajax video devices, covering every stage from initial concept creation to mass production launch and further scaling. The team focuses on building complex products that combine mechanical design, hardware development, and the integration of low-level software to ensure stable real-time system performance.The development process involves deep expertise in optics, image quality, embedded systems, Wi-Fi and networking technologies, as well as audio tuning. The division ensures full vertical integration of all device components, creating technologically complete solutions that meet the reliability standards of the Ajax ecosystem and the requirements of global industrial production. What you'll work with: object detection; object tracking; face recognition; multi-modal search; acoustic intelligence; models optimization for edge inference; research and deliver sota computer vision solutions to exceed today's cctv domain expectations. Your cross-functional partners: ML team; platform team; annotation team; QA team. What we're looking for: 5+ years with machine learning; 2+ years with computer vision and python; experience with PyTorch ot TensorFlow. Nice to have: experience with C++; deploy AI models on edge devices; computer vision analytics troubleshooting. We offer: -the opportunity to suggest and implement your own ideas that directly influence the product and its mass production; - a place in a fast-growing company with a motivated and professional team; - competitive salary; - medical insurance; - corporate English classes; - the opportunity to participate in Ajax’s internal beta-testing program for security systems; - discounts from partner companies; - discounts on Ajax products. Ajax Systems is a Ukrainian success story that has grown into a global product. Ajax devices are trusted by more than 4.5 million end users and 330,000 PRO users in over 180 countries. The company provides comprehensive solutions to protect residential and commercial properties of all sizes. Today, Ajax portfolio includes 280 devices for intrusion protection, video surveillance, fire safety, and comfort and automation.

Your Role: — Ensure high-quality releases through effective test planning, execution, regression testing, and staged rollout support — Define practical QA coverage for devices, OS versions, store builds, SDKs, ads, IAPs, analytics, and remote config — Identify, prioritize, and document issues with clear, actionable bug reports — Drive QA automation and continuously improve testing efficiency and coverage — Collaborate closely with developers, product managers, and external QA partners — Monitor live quality, investigate crashes, ANRs, performance issues, and prevent regressions — Provide clear release readiness assessments and go/no-go recommendations — Maintain test documentation, release reports, and changelogs in Jira & Confluence — Champion a quality-first mindset across the team Your profile: — Mobile or instant games as your primary QA domain for 5+ years, ideally on live-operated F2P titles — Bachelor's degree in Computer Science, Information Technology, or a related field — Hands-on experience with IAP flows, ad mediation, ATT/consent frameworks, and attribution SDKs — Experience with QA automation, Unity games, and modern QA tools and workflows — Experience with crash reporting and monitoring tools (e.g. Firebase, Crashlytics, DataDog), and strong understanding of mobile stability issues: crashes, ANRs, and freezes — Proven experience building or owning a mobile QA automation framework (e.g. Appium, Unity Test Framework) — Strong understanding of mobile game telemetry, analytics validation, and event tracking — Experience working with external QA vendors or distributed QA teams — Proficient with Jira, Confluence, and modern AI tools to improve testing, documentation, and QA efficiency — Strong analytical, problem-solving, and English communication skills — Highly organized, proactive, and passionate about delivering exceptional player experiences Benefits: — Remote-first, work fully remote or from Berlin office — Flexible working hours — No crunch culture, no overtime — Generous vacation — Home office budget and utility grant — Learning & development budget — Top-tier equipment — Meal allowance — Company swag — Annual company retreat

Location: Pune, India Workplace: Hybrid Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are looking for a Senior Data Engineer to join a team migrating a production SaaS data platform off a legacy ETL/streaming-based pipeline and onto a Snowflake Native Application built for self-serve distribution and per-tenant data isolation. This isn't a greenfield build — it's a migration with real legacy constraints. You'll be working from an existing production system that has already been audited in detail, and turning those findings into a working Snowflake-native data platform. You should be comfortable reading someone else's architecture, spotting where it breaks down at scale or under multi-tenant isolation requirements, and redesigning around it. WHAT YOU'LL DO - Re-architect ingestion — design and build the replacement for the current endpoint-to-cloud-function-to-streaming-queue-to-ETL-to-warehouse path, moving ingestion natively into each customer's own Snowflake account so the platform's data-sovereignty story is true end to end. - Migrate legacy ETL logic — translate existing transformation logic covering activity, meeting/event, network context, and system metadata data into Snowflake-native pipelines using the right combination of native transformation tooling and orchestration. - Design for per-tenant isolation — build data models and pipeline logic that hold up under a cross-account, multi-tenant distribution model, with tenant boundaries addressed explicitly at the schema, pipeline, and secret-management level. - Work through known technical debt — shared credentials baked into client-side builds, build-time-only configuration with no live tenant provisioning, inconsistent cross-platform data-capture parity — deciding case by case what gets carried forward, redesigned, or retired. - Rebuild the platform's core data model — activity, event, network, and metadata — preserving the analytics the business depends on while moving underlying storage and processing into Snowflake. - Validate against real production data patterns — batch sizes, sync frequencies, offline-queue backlogs — captured during discovery to ensure the new pipeline design holds up under realistic load. - Document migration decisions clearly enough to be defended internally, to downstream customers, and through a formal marketplace review process. REQUIRED SKILLS & EXPERIENCE - 5+ years as a data engineer with hands-on Snowflake experience — native transformation and orchestration features, not just SQL. - Real experience migrating an existing production ETL pipeline to a cloud-native target — not a from-scratch build. - Working knowledge of streaming and event pipelines. - Comfortable reading and reasoning about a system's security model — encryption at rest and in transit, key management, multi-tenant secret handling — well enough to flag when a proposed design reintroduces a previously identified gap. - Familiarity with a major cloud provider's function/PaaS services, as parts of the migration will need to interoperate with the current production system during transition. - Experience designing for multi-tenant SaaS data isolation — schema-per-tenant, row-level security, or equivalent patterns. PREFERRED QUALIFICATIONS - Experience building and distributing applications through a cloud data platform's own marketplace or listing model. - Background in workforce analytics, activity monitoring, or similar behavioral/event data domains — application/window/URL activity, meeting data, network context. - Exposure to BI tooling migration alongside an underlying data platform move. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Offensive security The internal offensive security team is responsible for the penetration testing program, red team engagements, and offensive research aimed at uncovering sophisticated attack scenarios targeting high-value assets across the Nebius Cloud stack. The Role We're hiring an Offensive Security Engineer to join us at Nebius. You'll design and execute adversarial simulation across our cloud platform - attacking the same infrastructure our customers depend on - and translate findings into measurable security improvements. This is a hands-on engineering role within Product Security Team. You will be part of an internal red team, establish a penetration testing program, and conduct research to uncover sophisticated attack scenarios targeting high-value assets across the Nebius tech stack. What you’ll do Validate and extend early-stage Secure SDLC threat models via continuous penetration testing , assessing threat severity and mitigation status while challenging assumptions made during threat modeling and system development. Automate routine validations to keep pace with increasing feature flow, reserving manual analysis for genuinely complex cases. Plan and execute full-scoped red team engagements against Nebius cloud platform - including compute, storage, inference, networking, orchestration layers, and internal tooling. Identify threats, which are able to impact an organization's operations. Work closely with Detection & Response and other security engineering teams to run purple team exercises, validate detection coverage, and close gaps collaboratively. Research novel attacks against GPU infrastructure (e.g., closed-source firmware and vendor driver binaries, device passthrough exploits, SR-IOV/IOMMU misconfigurations, RDMA/InfiniBand fabric attacks, etc.), the inference stack (e.g., vLLM, TRT-LLM), and AI platform managed services (e.g., managed Slurm). Assess tenant-isolation boundaries and how they can be broken at the low-level stack Conduct targeted assessments of new products and infrastructure changes before they ship. Deliver clear, actionable reports for both technical audiences and leadership - with prioritized findings and remediation guidance. Establish red team processes, tooling, and a methodology that scales as the platform grows. What we’re looking for 6+ years in offensive security - penetration testing, red teaming, or adversary simulation Deep experience attacking cloud-native environments: Kubernetes privilege escalation, cloud IAM abuse, virtualization and container escapes. Strong fundamentals across the attack lifecycle: initial access, persistence, lateral movement, data exfiltration. Proficiency developing custom tooling and post-exploitation capabilities (Python, Go, or similar). Experience running purple team exercises and working constructively with blue teams. Ability to write clear, senior-level reports with business-contextualized risk (not just raw findings) that engineers can easily use. Nice to have Experience attacking ML infrastructure, model serving pipelines, or GPU clusters. Reverse engineering and exploits development experience Application security experience Familiarity with eBPF bypass techniques or kernel-level exploitation. Background in vulnerability research or CVE discovery. Experience with cloud provider internals (hypervisor/networking layers). Presenting your security research at conferences like BlackHat/DefCon, etc. Why this role at Nebius Attack surface that's genuinely novel - GPU clusters, AI platforms, multi-tenant cloud at scale. Work alongside world-class engineers on infrastructure that powers frontier AI. Competitive compensation with equity upside in a Nasdaq-listed, high-growth company. Flexible, remote-first culture Hiring process Recruiter's chat (30mins) Live-coding interview (60mins) to asses basic coding skills Security interview (60mins) to asses domain expertise Security System Design interview (90mins) to assess practical experience (Optional) Technical deep dive (90mins) to present a complex and impact project. Final interview to close the hiring process (45mins) Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About the Role: You'll work alongside diverse, cross-border teams and supportive colleagues who share knowledge and want to see you succeed. Salesforce, Marketo, Salesloft, and a growing web of integrated SaaS tools run large parts of Wrike's business. As that footprint grows, we're hiring a dedicated analyst to bring stronger visibility, governance, and risk understanding to this business systems estate — partnering closely with the teams who own and use these tools. Your Impact: — Own security for Wrike's business systems SaaS tools such as Salesforce, Marketo, Salesloft, and the integrations that connect them, covering permissions, sharing rules, connected apps, OAuth scopes, and integrations. — Build and maintain clear visibility into what data lives in these systems, why it's there, and how it flows between integrated tools. — Partner with RevOps, Marketing, Legal and others to embed security into how these platforms are configured, extended, and connected to third-party services. — Translate security and business-continuity issues into clear, actionable terms for non-technical stakeholders. — Ensure business systems handling personal data hold up against privacy frameworks including GDPR and CCPA, in close collaboration with Legal and Compliance. — Chase data-flow and permission questions to ground truth which means following through until the answer and its implications are genuinely clear. Your Qualifications: — Your primary expertise is in Salesforce administration and business systems security. — Everything else listed here is context you'll operate in. — Depth in the primary domain matters more than breadth across all of them. — Salesforce administration experience with a strong security lens. — This means permissions, sharing rules, connected apps, and integration patterns. — Solid understanding of how business systems interconnect and why that matters for data exposure and business continuity. — Able to communicate issues precisely to both technical and non-technical audiences. — Working knowledge of privacy frameworks such as GDPR and CCPA at minimum. — You don't need to tick every box! We're looking for depth in business systems security and the drive to grow across the rest. Standout Qualities: — Certified Salesforce Administrator credential. — Security+, ISC2 CC, or an equivalent security certification. — Experience auditing or governing SaaS-to-SaaS integrations. — Exposure to data security posture management (DSPM) or data classification in SaaS environments. — You use AI as a force multiplier — to move faster, think wider, and go deeper — but your security instincts and judgement are your own. — You don't outsource thinking to a tool. — Demonstrated tenacity in chasing complex data flows and access permissions across multi-tool integrations to a definitive answer. Team Dynamics: — You will be joining Wrike's 15-member global Security team led by Maksim Pekuryn, Director of Security. — You will report directly to Swen Groeneveld, Head of Security Operations, whose 8-person sub-team includes Security Engineers, Application Security, and SOC specialists. — You'll also work closely with cross-functional partners in RevOps, Marketing, and Legal. Our Work Style: — Tech stack: Salesforce, Marketo, Salesloft, OAuth integrations, connected apps, and related business SaaS tooling. — Collaborative environment working closely with RevOps, Legal, and Marketing teams. — Hybrid mode. Benefits & Perks: — 28 calendar days of paid vacation — Sick Leave Compensation (5 Paid Uncertified Sick Days) — Parental Leave: 18 Weeks Maternity / 4 Week Paternity — 2 Volunteer Days — Health Insurance (Employees + Dependents) — Life Insurance Plan — Utility Allowance (30 EUR/month, subject to taxation) — Fitness Plan (800 EUR/year) — Full-remote & On-demand access to Co-working space

Location: Los Angeles, United States Workplace: onsite About Xsolla Xsolla is a global video game commerce company that provides the tools and infrastructure the gaming industry relies on to build, distribute, and monetize games. Working with developers and publishers of every size, from independent studios to the largest franchises in the world, Xsolla operates as a merchant of record and processes payments across more than 200 countries and territories, supporting over 1,000 payment methods, 130 currencies, and 25 languages. Its platform spans the full game lifecycle, including web shops, Pay Station, Login, Launcher, the In-Game Store, and a broad suite of LiveOps and monetization tools. The Capital Markets Grou The Capital Markets Group (CMG) sits within Xsolla's Global Strategic Initiatives function and operates as the firm's institutional capital platform. The group originates, structures and executes financing and investment solutions across games and interactive entertainment. The group operates multiple investment vehicles spanning debt financing and credit markets, alongside special situations and principal investment strategies serving the interactive entertainment ecosystem. These activities are supported by a proprietary market intelligence system, a global events and convening program, and a governed institutional relationship platform covering LPs, sovereign investors, family offices, banks and intermediaries across the Americas, MENA , APAC and Europe. CMG operates from hubs in Los Angeles, New York, the Middle East and Singapore. The group is in its foundation stage: hires at every level join a live deal environment with executive sponsorship, meaningful ownership and the mandate to build a durable franchise rather than inherit one. For more information, visit xsolla.com . About the Opportunity Xsolla is seeking a Vice President, Investor Relations and Capital Formation to run the investor relations engine of the Capital Markets Group across its fund platform: owning the institutional relationship platform, the capital formation funnel from segmentation and tiering through outreach, nurture, diligence and close, and the investor communications and reporting that keep LPs informed and engaged. The corporate title for this seat is Vice President. The role manages the Analyst, Capital Markets Intelligence and CRM, and offers a clear path to senior leadership of the group's investor relations function. The Vice President, Investor Relations and Capital Formation will be based in Los Angeles, CA, Xsolla's headquarters, in office, and will report to the Group Head of Capital Markets (SVP, Global Strategic Initiatives), with a dotted line to the fund principals. Travel is approximately 15 to 25 percent, primarily for roadshows and priority industry events. This is a full time position. Expressions of Interest Xsolla welcomes confidential conversations with qualified candidates and trusted introductions. Please direct expressions of interest, together with a resume and a short note on relevant experience, to the Xsolla Talent Acquisition team via the application button linked below. Role Overview As Vice President, Investor Relations and Capital Formation, you will run the investor relations engine for the group's fund platform. You will own the relationship platform and the capital formation funnel end to end: segmentation and tiering, outreach and nurture, diligence and data room, investor communications and reporting. The role suits a candidate who has run fund marketing operations at an institutional standard and wants to build that function, and the team behind it, from the foundation. Key Responsibilities Capital Formation Operations Run the funnel. Run the capital formation funnel end to end, from segmentation and tiering through outreach, nurture, diligence and close. Manage diligence. Manage DDQs, the data room and subscription documents in partnership with fund counsel and fund administrators. Coordinate roadshows. Plan and coordinate multi region roadshows and own the master investor calendar. Support onboarding. Support investor onboarding, including KYC and AML processes, with fund administrators and counsel. Investor Relations and Communications Produce investor materials. Produce introductory materials, quarterly updates, announcements and invitations, with all communications cleared through Legal and fund counsel. Prepare senior coverage. Ensure meeting briefings are prepared for senior coverage and that commitments made in meetings are tracked through to completion. Integrate convening. Integrate the group's global events and convening program into the capital formation funnel. Relationship Platform and Data Governance Own the platform. Serve as Salesforce system administrator and data owner for the relationship platform, including schema, tiering and scoring, deduplication, enrichment and the interaction logging standard. Report on the funnel. Produce funnel, coverage and data hygiene reporting for the weekly pipeline call and the monthly executive readout, and maintain the KPI dashboard. Control access. Manage access controls and permissions on the relationship platform. Team and Control Develop the Analyst. Manage and develop the Analyst, Capital Markets Intelligence and CRM. Operate within the rules. Operate within private placement marketing constraints and approval workflows, and maintain audit ready records across investor activity. Candidate Profile Experience 6 to 10 years of experience in investor relations, capital formation, private placement or fund marketing operations at an alternative asset manager, placement agent, fund administrator or investment bank. Hands-on experience running DDQs, data rooms and subscription processes. Exposure to multiple alternative strategies, such as credit, special situations and private equity, is preferred, as is exposure to gaming, entertainment or technology investing. Domain Expertise Working knowledge of fund marketing compliance and private placement rules. Familiarity with institutional reporting standards and standard DDQ formats is preferred. Skills and Competencies Demonstrated accountability as a CRM administrator and data owner, ideally in Salesforce. Experience with marketing automation tools and data providers such as Preqin or PitchBook is preferred. Exceptional business writing skills. Strong organization across multiple time zones and workstreams. Discretion with confidential information and a high degree of ethics and integrity. Education and Credentials A bachelor's degree is required. The SIE , Series 7 and Series 63 licenses and the CAIA designation are preferred. Work Authorization Candidates must be authorized to work in the United States. Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act and the Los Angeles Fair Chance Initiative for Hiring. Reasonable accommodations are available to applicants on request. Criminal History Consideration: For the Vice President, Investor Relations and Capital Formation, we will conduct a background check that may include the following: Criminal history check, including fingerprinting where securities registration is required Employment verification Education verification Professional license verification and regulatory disclosure review Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Handling sensitive financial information and investor subscription and onboarding records Accessing confidential company and investor data Ensuring compliance with securities and private placement regulatory requirements Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com . By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants . Please direct any inquiries regarding your data privacy to careers@xsolla.com . Compensation is competitive and negotiable based on experience, and includes performance-based incentives, equity participation, and comprehensive health, retirement, and wellbeing benefits.

Location: SF Bay Area; US Remote Workplace: Remote ABOUT THE ROLE Cyberhaven is building Flow, a unified data security platform spanning Human Data Security, Agentic Data Security, and Data Security Posture Management. The people who use it are security analysts, insider-risk investigators, and data protection leaders — experts doing demanding work under time pressure, who live in our product all day. And increasingly they are not working alone: AI agents are becoming actors inside the enterprise and inside our product, which means the experience we design now has to serve both the human doing the judging and the agent doing the work. We are looking for a Director of Product Design to lead our design team and own what Flow feels like to use. You will set the experience vision for the platform, define the interaction patterns for a generation of security work that is part human and part agentic, and lead the designers and researchers who make it real. You will lead a small, talented team of designers and will partner directly with the CPO, product management, engineering, and customer experience, and you will operate as the design voice in the rooms where the roadmap and scope get decided. This is a hands-on leadership role: you will raise the craft bar and grow your team, and still be close enough to the work to have an independent point of view about what we should build. WHAT YOU'LL DO - Own the end-to-end product design experience across Flow, HDS, ADS, and DSPM from the analyst’s daily workflow to how the platform holds together as one product rather than three. - Define the next-generation experience vision for the platform, including how humans and AI agents work together inside it: agent-assisted investigation, human-in-the-loop decisions, explainability, and the interaction patterns that let a security professional trust and override automated work. - Lead, coach, and grow a team of product designers, and raise the standard for craft, critique, and how design decisions are argued and defended. - Own the UX research function and make sure the team’s work is grounded in evidence customer interviews, usability testing, support and RFE signal, and product instrumentation rather than internal opinion. - Partner with product management and engineering from the earliest stage of every major initiative, shaping the problem definition and scope rather than styling decisions that have already been made. - Build and evolve the design system and the patterns that let a growing engineering organization ship a consistent experience at speed. - Establish how design measures itself usability benchmarks, task success, time to resolution for core analyst workflows, adoption of new surfaces, support deflection and report against it. - Drive the experience work behind platform migration, making sure the move to Flow is something customers want rather than something they endure. - Represent the customer’s experience in executive forums roadmap reviews, business reviews, and planning with a clear and honest read on where the product stands. WHO YOU ARE - 10+ years in product design, including 4+ years leading and developing designers, with a portfolio of shipped work you can walk through end to end. - Worked in cybersecurity, or designed for security operations, insider risk, or data protection teams. - You have set an experience vision for a complex product and then delivered against it not just a concept deck, but patterns and surfaces that shipped and held up. - Experienced with complex, expert-user enterprise software tools where the user is a professional doing demanding work, not a consumer. Security, IT operations, observability, data infrastructure, or similar domains. - You have designed AI-powered or agentic product experiences and have a real point of view on trust, transparency, control, and what happens when the model is wrong. - Strong systems thinker: you can hold a platform-level information architecture in your head, and you build design systems that make teams faster instead of slowing them down. - You value and use research. You know how to run the function, ask the right questions of it, and act on what comes back. - An exceptional communicator and influencer. You can tell a room of executives something they do not want to hear, ground it in the customer’s reality, and leave with a decision. - A people leader first. You develop designers, give direct feedback, and build a team that does its best work. - You operate with urgency and judgment in a fast-moving environment, and you are comfortable making progress before every input is in hand. - Located in the US (SF Bay Area preferred). - Led design through a major platform migration or the consolidation of several products into one. - Experience building a design function hiring, leveling, process, and the operating rhythm not just running one that already existed. Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking. Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Location: Bengaluru, India As a Tech Lead, you will guide a squad of engineers in delivering Java microservices on AWS, balancing hands-on technical contribution with team leadership responsibilities. You will own the quality and integrity of your squad's deliverables, drive implementation against architecture guidance, and ensure engineering standards are met on every release. You will work closely with the Technical Architect and Delivery Manager to plan, estimate, and ship working software on a predictable cadence. This position is intended for Hyderabad-based candidates who are available to work from the office. DataArt's team is assisting a client part of one of the largest investment management organizations in the world in migrating their existing services and applications to AWS, as well as developing new greenfield platforms. The engagement covers full-platform modernization: decomposing a monolithic Azure-based legacy system into cloud-native Java microservices and building new institutional client-facing solutions. By participating in this project, you will lead a delivery squad working at the core of a high-impact, large-scale migration. Design and implement Java microservices following DDD principles aggregate roots, bounded contexts, domain events published to the enterprise event bus. Implement CQRS read/write separation: Hibernate ORM write path, GraphQL composition and ORM-based REST GET DTOs for reads. Implement and maintain database schemas with Flyway migrations on Aurora PostgreSQL; ensure schema changes include corresponding history-table updates. Integrate AWS security patterns: RDS IAM database authentication, Secrets Manager, KMS at-rest encryption, TLS in-transit configuration. Implement authentication flows using Azure B2C and/or AWS Cognito (OIDC / JWT) for multiple user personas. Collaborate with cross-functional teams to define, design, and ship new features; translate architecture decisions into actionable engineering tasks. Own CI/CD pipeline health: GitHub Actions reusable workflows, semantic versioning, ECR push, EKS deployment, automated test gates. Identify and address performance bottlenecks, scalability issues, and bugs; lead root cause analysis on production incidents. Write clean, well-documented, maintainable code and ensure the squad does the same. Participate in sprint ceremonies under Agile SDLC; contribute to backlog refinement and estimation. Stay current with industry trends — including AI tooling — to keep the squad's approach modern and competitive. 10+ years of professional experience in Java development, with at least 3 years in a tech lead or senior lead role. Strong understanding of microservices architecture, DDD, and cloud-native design principles. Excellent knowledge of Java (21+), Micronaut or Spring Boot, Hibernate / JPA, MyBatis, Gradle, and Git. Hands-on experience with Aurora PostgreSQL or equivalent RDBMS: schema design, Flyway migrations, connection pooling (HikariCP). Experience with AWS platform services: EKS, RDS, IAM, Secrets Manager, ECR, CloudWatch. Familiarity with identity platforms: Azure B2C and/or AWS Cognito — OIDC/JWT flows and JWT validation in a Micronaut or Spring Security context. Experience with Docker containerization and Kubernetes / Helm deployments. CI/CD experience with GitHub Actions or equivalent; understanding of GitOps practices (Argo CD). Experience with OpenAPI/Swagger for contract-driven API development. Understanding of pub/sub and event-driven messaging (Kafka, AWS SNS/SQS, Azure Service Bus, or equivalent). Strong understanding of relational database design and query optimization. Experience with code quality tooling: linters, formatters, coverage gates in CI. Understanding of Agile SDLC, comfortable leading planning, refinement, and retrospective ceremonies. Team player with initiative and a results-oriented attitude; good sense for quality. Strong English communication skills; ability to bridge technical and product conversations. Excellent problem-solving skills and a proactive attitude. Experience in the finance or investment management industry AWS certification such as Developer or Solutions Architect Hands on experience with Terraform for AWS EKS, RDS, and IAM infrastructure Experience with Azure Service Bus and hybrid Azure to AWS event bridge patterns Experience with GraphQL schema design and DataLoader batching for N+1 prevention Experience with Kong API Gateway including route configuration and OIDC plugin integration Experience with the Micronaut GraphQL module Experience with Aurora PostgreSQL temporal and history table patterns

Location: Estonia; Latvia; Lithuania Top 3 Reasons To Join Us Competitive Salary International Environment Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world What You Will Do Design, implement and maintain new features and functionalities for the SAAS platform, understanding the requirements of insurance businesses and translating them into scalable and efficient software solutions Work on both the front-end and back-end of the application, demonstrating expertise in various technologies, frameworks, and programming languages Work collaboratively with product, design, engineering teams, and UX designers to understand end-user requirements, use cases, and technical concepts, translating them into a cohesive and effective solution while ensuring a seamless user experience. Optimize the performance of the application to handle large amounts of data and high user traffic, delivering a smooth user experience Participate in code reviews and enforce best coding practices, while also writing and executing unit tests and integration tests to maintain code quality Investigate and promptly fix bugs to maintain the reliability of the platform Ensure security and compliance by following best practices for securing web applications and adhering to relevant regulations in handling sensitive customer data Stay up-to-date with the latest technologies, frameworks, and best practices to ensure we remain competitive and innovative Design the platform with scalability and flexibility in mind, accommodating new features and changes as the number of clients and users grows Provide mentorship to junior developers, aiding in their technical growth and effective contribution to the team's goals What We Need Proven experience 6 years as a Full Stack Engineer, working on complex SAAS applications Strong technical background with proficiency in back-end technologies, such as .NET Core, C#, GraphQL, MongoDB, Docker Proficiency in front-end technologies such as Javascript, Vue.js and/or React.js Familiarity with cloud platforms like AWS, Azure, or Google Cloud for building scalable applications Experience with microservices and/or clean architecture Thorough understanding and practical experience with Test-Driven Development (TDD) to ensure robust and well-tested code Experience with unit, integration and function testing using front-end and back-end testing libraries Proficiency in Domain-Driven Design (DDD) principles to create a maintainable and modular architecture that aligns with business domains In-depth knowledge of web security best practices and experience in ensuring compliance with industry regulations Demonstrated experience in performance optimization for high-traffic web applications Experience with container technologies like docker and good understanding of cloud infrastructure and solutions. Experience with agile development methodologies and collaborating with cross-functional teams Excellent problem-solving skills and a proactive approach to troubleshooting and bug fixing Strong communication skills to effectively interact with both technical and non-technical team members with diverse backgrounds A passion for staying updated with the latest trends, technologies, and best practices in software development Why You'll Love Working Here Competitive renumeration package International Environment 15 days annual leave, 10 sick leaves, special leaves Annual Performance Bonus Company activities and events Learning and development plan CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

About Utorg: Founded in 2019, Utorg builds infrastructure for stablecoin payments including on- and off-ramps, self-custodial wallets, and crypto cards. The platform serves over 2 million users in 130+ countries and supports 2,100+ B2B platforms with $2.4B+ moved to date. The company is fully MiCA-authorized across the EEA and PCI DSS Level 2 certified, backed by Dragonfly, TA Ventures, and Hypra. Tasks: — Own backend architecture across two large-scale microservice platforms (30+ and 25+ services), including system design, API contracts, data flow, and inter-service communication. — Lead complex integrations with payment providers, card issuers, blockchain networks, and third-party APIs, ensuring reliability in production. — Drive performance and scalability by identifying bottlenecks, designing caching strategies, optimizing database queries, and ensuring platform handles growing load. — Shape technical direction by making architectural decisions, evaluating trade-offs, and influencing engineering standards. — Partially offload the Tech Lead to help scale the team. — Build and improve AI-powered processes using LLM-based systems to automate operational and development workflows. — Contribute to office frontends (~20% time) by maintaining and extending React-based admin dashboards. — Own features end-to-end from planning and design to implementation, testing, production monitoring, and iterative improvement. — Collaborate closely with Product, QA, and cross-functional teams, produce technical documentation, participate in code reviews, and share knowledge. — Participate in shared on-call rotation approximately one week per month. Requirements: — 5+ years of production backend development experience with TypeScript/Node.js. — 2+ years of production experience with NestJS including modules, providers, middleware, guards, interceptors, and microservice architecture. — Deep PostgreSQL expertise including schema design, indexing (partial, GIN/GiST), query optimization, zero-downtime migrations, and database-per-service pattern. — Hands-on microservices experience (not monolith split into modules). — Experience with inter-service communication (RPC, pub/sub), message brokers, idempotency, eventual consistency, saga/outbox patterns. — System design skills including decomposing services, designing API contracts, data flow architecture, and capacity planning. — Ability to whiteboard systems and explain architectural decisions. — Experience with complex integrations with third-party APIs, payment systems, or similar external services in production. — Knowledge of retries, circuit breakers, and graceful degradation. — Performance engineering skills including profiling, caching strategies, load analysis, and bottleneck identification. — Ability to optimize slow queries and services. — Production blockchain experience with on-chain transactions, multiple networks, and real user funds. — Understanding of HD wallets (BIP32/BIP39), smart contracts, ABI, ERC-20/SPL tokens, and account-based vs UTXO models. — Experience with libraries such as ethers.js, viem, and solana/web3.js. — AI-driven development experience using AI tools (Claude, Copilot, Cursor) and optimizing business or organizational processes with AI/LLMs. — Strong testing discipline including unit tests (Jest), integration tests with real databases, and microservice testing. — Security-conscious coding practices suitable for fintech and crypto. — Skilled in technical research, evaluating trade-offs, testing hypotheses, and making data-driven architectural decisions. — English proficiency at Upper-Intermediate level. — Fluent in Russian. Nice to have: — Experience with NATS JetStream as a transport layer. — Observability tools: OpenTelemetry, Prometheus + Grafana, structured logging (pino), distributed tracing. — Advanced Kubernetes skills including Kustomize/Helm, deployment strategies, and resource management. — Fintech domain knowledge: PCI DSS, GDPR, KYC/AML, payment systems. — Experience mentoring junior/middle developers. — React basics for office UIs (functional components, hooks, Redux, Material-UI). — Close collaboration with Product, QA, Frontend, and Mobile teams; essential cross-functional communication. Key results expected: 30 days: Ship first features to production, deep dive into stack, architecture, and domain. 60 days: Independently drive complex integration or major feature, participate in architectural code reviews, propose improvements. 90 days: Make architectural decisions, influence technical direction, partially offload Tech Lead, participate in planning. Conditions: — Fully remote work. — Agile, international team. — Engineering culture encouraging modern tools and development practices. — Two career tracks: Tech Lead or Staff/Principal IC. — Career progression and professional development in fintech. — Competitive salary based on individual performance review. — Transparent feedback culture valuing ownership and open dialogue. Recruitment process: — Submit application and CV. — Application review. — HR interview. — Technical interview. — Team Lead interview. — Offer and next steps.

About the Role: We're hiring our first Senior GTM AI Engineer. This is a software engineering job inside the revenue org. You will build the pipelines, internal tools, and agents that decide which companies we go after, how we reach them, and what our sellers see when they open their laptop in the morning. Most of what a sales ops team used to do by hand is now something you can write software to do. Tasks include finding every company building voice AI before they contact us, researching accounts and drafting first emails, watching product usage to alert AEs about customer expansion or churn, and keeping the CRM clean without manual form filling. You will build those systems, run them in production, and be judged on whether pipeline and revenue move. Your users are AEs, SDRs, and GTM leaders. Your job is to make a small team perform like one three times its size. What You'll Do: — Write code every day, mainly Python services, SQL models, scheduled jobs, and small internal apps. — Use Claude Code and similar tools to ship quickly. — Build agents for account research, lead qualification, outreach drafting, CRM hygiene, and usage monitoring. — Design, equip, evaluate, and maintain these agents. — Turn product usage data in BigQuery and Looker into actionable signals for sellers. — Build the account targeting machine: sourcing, enrichment, deduplication, and ICP scoring. — Integrate existing systems (CRM, enrichment providers, outbound tools) for seamless data flow. — Maintain funnel data trustworthiness through routing rules, field governance, and attribution. — Prototype rapidly, measure effectiveness, discontinue ineffective solutions, and collaborate with Sales and Marketing leadership. — Document your work for sustainability. What You'll Need: — 4+ years as a software engineer, data engineer, or growth/GTM engineer with experience shipping systems others depend on. — Strong Python and SQL skills. — Ownership of production automations end to end: APIs, webhooks, scheduled jobs, retries, error handling, and monitoring. — Experience building with LLMs beyond single prompts: multi-step agents, tool use, retrieval, and evaluation. — Ability to assess agent output quality and choose appropriate tools. — AI-assisted development experience using tools like Claude Code daily. — Solid fundamentals: clean code, version control, code review, debugging, and systems thinking. — Ability to ship independently without an engineering team. — Curiosity about sales organizations and willingness to learn CRM and related tools. — Builder's mindset with operator's judgment: scoping for business impact, iterative shipping, and measuring pipeline and revenue results. — Low ego, high ownership, and comfort as a single-threaded owner of a domain. Nice to Have: — Hands-on Salesforce or other CRM experience at object and API level, or experience with enrichment and outbound tools like Clay. — Experience with dbt, BigQuery, Looker, or equivalent warehouse and BI stack. — Experience at developer-facing or API-first companies or selling to technical buyers. — Experience as the first engineer in a sales or growth org building the function from scratch. Pay Transparency: Salary range: $160,000 to $220,000 per year for candidates in the U.S. Adjustments may apply for other regions.

Role We are looking for a Sales Account Executive-Enterprise to join our Sales team. This is a remote based in Taiwan role, reporting to the Regional Sales Director in the Sales department. You will be responsible for understanding and solving customer pain points through a unique value proposition, focusing on high-impact growth within your territory. By educating key decision-makers on inspiring technology, you will drive the mission forward and ensure customer success. What you’ll do (Role Expectations) — Understanding and solving customers' pain points through Zscaler's unique value proposition — Embracing selling an inspiring technology to educate key decision-makers in organisations in your territory — Creating a plan for success including coverage, target prospects, customer footprint, partner coverage, marketing campaigns — Learning and implementing world-class sales methodologies to overachieve on quarterly/annual revenue goals — Working with Sales Engineers to achieve both business and technical value Who You Are (Success Profile) — Thrive in ambiguity and dynamic environments — Comfortable building the path as you walk it — Act like an owner with passion for the mission and integrity — Problem-solver focused on finding solutions and delivering impact — High-trust collaborator, ambitious for the team — Embrace challenge culture with ongoing feedback — Learner with a growth mindset, obsessed with development — Passionate and purposeful in your work What We’re Looking for (Minimum Qualifications) — Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain — Professional experience in Sales managing a revenue quota — Bachelor's degree in Business or a related field — Progressive selling experience engaging with accounts and selling at the C-Level What Will Make You Stand Out (Preferred Qualifications) — Experience leveraging AI-powered sales intelligence software or positioning predictive AI cloud security frameworks to expand enterprise market share — Experience selling Security, SaaS, or Software — Experience working with Channel partners to create joint plans, develop pipeline, and lead opportunities to closure Our Benefits program includes various health plans, time off plans for vacation and sick time, parental leave options, retirement options, education reimbursement, in-office perks, and more. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to equal employment opportunities and providing reasonable support in recruiting processes for candidates with diverse needs.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Safeguards organization builds the policies, evaluations, and detection and enforcement systems that define and hold the limits on how Claude can be used. Within Safeguards, our Policy, Enforcement, and Threat Intelligence teams work as one org: Policy Design defines what is and isn't allowed across harm areas, Enforcement detects and acts on violations, and Threat Intelligence investigates sophisticated misuse and emerging threats. That work runs across a lot of teams and moves fast. A single decision can touch model training, detection systems, product launches, legal review, and external communications. As the org's program manager, you'll keep all of it moving: tracking the portfolio across all three teams, running the processes that connect their work to each other and to the rest of the company, and making sure the right people are aligned before decisions land. Your work will include the operating rhythm (planning, priorities, status, and decision tracking), launch and release readiness across policy, enforcement, and threat intelligence workstreams, and the processes that support how we share our work externally, including blog posts, threat reports, and other publications. You'll work closely with the org's leadership to spot risks early, clear blockers, and keep everyone pointed in the same direction. This role is a good fit for someone who brings structure to ambiguous, fast-moving work without adding overhead, and who can earn the trust of policy experts, researchers, and engineers alike. Important context for this role: some of the work may involve exposure to explicit content, including material of a sexual, violent, or psychologically disturbing nature. It also may require late nights or weekend work. Key responsibilities Own cross-functional program management for the Policy Design, Enforcement and Threat Intel teams, keeping workstreams across harm areas on track and visible to leadership Run the team's operating rhythm: quarterly planning, priority setting, status tracking, and a clear record of decisions, who made them, and why Coordinate policy work with partner teams across research, product, engineering, legal, and communications, so dependencies are surfaced early and nothing lands on a partner as a surprise Drive readiness for policy, enforcement, and threat intelligence work tied to model launches and product releases, including timelines, reviews, and sign-offs Own the process for the org's external publications, including blog posts and threat reports, from idea through drafting, review, approvals, and publication Identify risks, blockers, and resourcing gaps across the portfolio, and escalate them with a proposed path forward Build lightweight processes and tools that make the team faster, and retire the ones that stop earning their keep Minimum qualifications Experience running cross-functional programs in a fast-moving technical environment, with a track record of shipping on time across teams you don't manage Ability to bring structure to ambiguous work: breaking big goals into plans, owners, and milestones, and keeping them current as priorities shift Strong written communication, including clear status updates, decision records, and summaries for executive audiences Experience managing review and approval processes with multiple stakeholders, such as publications, launches, or policy releases Judgment about when a process helps and when it's overhead, and a bias toward the lightest process that works Comfort working on sensitive topics and holding high standards for confidentiality Preferred qualifications Program management experience in trust & safety, product policy, enforcement operations, threat intelligence, or AI safety Familiarity with how AI models are developed and launched, and how policy, enforcement, and threat intelligence work plug into that cycle Experience coordinating external publications, research releases, or public communications Experience using AI tools, including agentic tools, to automate tracking, reporting, and other recurring program work The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $330,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA Workplace: Hybrid About Niantic Spatial We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Role Niantic Spatial makes the physical world computable, helping people and machines collaborate safely by aligning how they understand reality. One of the fundamental problems we're helping autonomy teams and engineers overcome is the sim-to-real gap for visual-spatial understanding. We're applying our team's decades of experience encoding the world precisely as it is at Google Maps, Google Earth, and Niantic Labs to build the scalable real-to-sim stack for embodied AI. We're looking for a Staff Engineer, Robot Learning to lead engineering for our real-to-sim product within the Embodied AI group. One of the fundamental problems facing autonomy teams is the sim-to-real gap in visual-spatial understanding, and we're applying decades of experience encoding the world precisely as it is to build the scalable real-to-sim stack for embodied AI. Working alongside the group's General Manager and Product leader, you'll inform the roadmap, own the technical requirements our researchers and engineers build against, and personally prototype and evaluate the changes you propose. You've lived the problems our customers are solving: you've trained and deployed embodied AI systems, seen where and why simulation fails to predict real-world performance, and worked through the consequences. This is not a role for someone who wants to manage and not ship, or someone who wants to ship without ownership of commercial consequences. This is a role for an entrepreneurial tech lead who loves to build and is energized by helping those around them do the best work of their lives. You have a co-founder mentality. You may have been part of a founding team before, or want to start your own business one day. What You'll Do - Sharpen the Roadmap - Bring first-hand knowledge of customer pain, existing solutions, and the value of doing better to roadmap decisions, and help focus effort on the most consequential problems to solve. - Own the Technical Requirements - Guide the team to design the real-to-sim stack pragmatically. Make the final recommendation on what to build, integrate, and simplify, ensuring capabilities work within customers' existing training and evaluation workflows. - Benchmark the Impact - Working with our Real-World Test Lab, design and run reproducible evaluations that measure the impact of our real-to-sim stack on policy transfer and real-world performance against customers' existing approaches. - Build and Ship - Lead engineering delivery and personally build critical features. Keep scope tight, remove blockers, and get performant capabilities into customers' hands quickly. - Raise the Technical Bar - Set a high bar for the team's work and deepen its understanding of robotics development and deployment, driving incremental improvement every week. What You'll Bring - Experience training, evaluating, and deploying robot policies in systems used by enterprise or government customers, with responsibility for performance in real operating conditions. - Deep practical experience using simulation for policy training or evaluation, including tools such as NVIDIA Isaac Sim, Isaac Lab, MuJoCo, or equivalent. You have diagnosed sim-to-real failures and understand when greater fidelity improves outcomes. - Hands-on experience with reinforcement learning, imitation learning, or both, and with deep-learning frameworks such as PyTorch. - A practical understanding of how visual perception and 3D scene representations affect robotics training, evaluation, and real-world performance. - Experience running experiments on real robots, from an ambiguous hypothesis through to defensible results. - Strong Python and C++ skills, with experience building reliable production software. - A bachelor's degree or higher in a relevant field. Nice to Have - You've authored or maintained a public robotics benchmark. - You've helped take an early product to repeatable adoption across multiple customers. - You've built or substantially extended robotics simulation infrastructure, including scene authoring, domain randomization, or large-scale training and evaluation. - You've trained and deployed vision-based navigation or mobility policies, particularly in varied, unstructured environments. - You've built pipelines that turn real-world reconstructions into simulation-ready environments. Competencies - Always Learning. Staying on top of the latest academic breakthroughs and commercial advancements, particularly in real-to-sim-to-real. - Relentless bias for action. You make decisions and ship as if the company’s success depends on it, because it does. You set the pace, and drive the people around you to rise to it. - Intellectually honest. You know there’s just one job that underpins every other in a startup: find the truth. You are relentless in your pursuit of it, including when it challenges your own convictions, and you raise concerns when you see them — even when it's uncomfortable, and especially when it's unpopular. - Pragmatic. You have no patience for not-invented-here syndrome and analysis paralysis. You find the fastest path to delivering customer value without going through one-way doors that undermine future scaling. - Confident and credible with customers. You can sit alongside an autonomy engineer and help them get to the root of their problems. You are comfortable speaking to customers and bring commercial nous to those discussions. Compensation & Benefits The expected salary range for this role is $270,000 – $300,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. Location & Work Model This role is based in our San Francisco office, with three days per week in office. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.