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Location: Philippines; Armenia; Kazakhstan; Uzbekistan; Georgia Workplace: Hybrid 📍 Manila, Philippines | Relocation required Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. In three years, we’ve grown to 7M+ app downloads, 2M+ monthly active users, 7,000+ partner stores, and US$310M+ raised from top-tier investors. You get real ownership from day one, high standards, and direct communication. You’ll work alongside a team that combines deep local knowledge with experience scaling regulated financial companies from scratch. About the role: Salmon operates across the Philippines, Singapore, and Abu Dhabi (ADGM), and our tax position has to hold up in all three at once. You’ll own that. You report to the Head of Group Tax and work independently across corporate income tax, withholding and indirect taxes, international taxation, structuring, and transfer pricing. Transfer pricing is a core part of the mandate, but not the whole job — you’re the Group’s go-to technical voice on tax, full stop. This is a hands-on seat for someone who can take a complex tax question, work it through alone, and land on a position the business can act on. You’ll work directly with the Head of Group Tax on live, cross-border problems that shape how Salmon expands — not theoretical tax exercises — with real autonomy and a direct line to the decisions your work informs, across finance, product, and tech. What you’ll do: - Research and resolve complex tax questions independently, and translate them into clear positions finance, product, tech, and commercial teams can act on. - Own tax compliance across corporate income tax, withholding, and indirect taxes — partnering with local teams and external advisors to hit deadlines and document positions properly. - Evaluate tax implications of new-market expansion, holding structure and capital optimization, profit repatriation, and any future M&A. - Advise on permanent establishment risk, withholding taxes, indirect tax exposure, and treaty applications, including RMC No. 5-2024 on services performed by non-residents. - Coordinate with external consultants to build a global transfer pricing framework covering intercompany service agreements, IP/tech licensing, and financial transactions. - Lead preparation of Local Files, Master Files, and Country-by-Country Reporting, and keep them audit-ready. - Manage benchmarking studies run by external consultants and confirm they’re applied correctly and kept current. - Partner with Tech and Product on the tax implications of new launches and geographic expansion. - Lead technically during BIR or other tax authority audits, including transfer pricing, and build the defense file. - Monitor intercompany transactions monthly and quarterly against transfer pricing policy, and confirm they’re properly invoiced and documented. What you’ll own: - The Group’s technical tax position across three jurisdictions — nothing routes around you on tax. - Transfer pricing documentation and defense, end to end. - Tax input on every new market, structure, or product decision that touches tax. - The BIR audit relationship and defense when it comes. What makes you a strong fit: - 6–10 years of broad tax experience spanning corporate income tax, international tax, structuring, and transfer pricing, with a track record of owning complex matters end to end. - Big 4 tax practice at Manager level, or in-house tax at a fintech, is the ideal path here. - Bachelor’s degree in Accounting or Law; a professional certification is a strong plus. - Deep working knowledge of OECD Transfer Pricing Guidelines and BEPS 2.0, plus BIR and IRAS regulations. - Can turn dense tax concepts into a straight answer a non-tax stakeholder can act on. - Comfortable owning ambiguous, competing priorities with minimal oversight. - Thrives founder-led and high-pressure, and builds process from scratch rather than waiting for one to exist. What we offer: Ownership and flexibility - Stock option plan — four-year vesting with a 25% cliff after the first year - Hybrid-first work environment - Company-provided tools and equipment - Office in Bonifacio Global City, Manila — a modern, walkable district at the centre of the Philippines’ growing tech scene Health and time off - Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits - Access to an internal mental health support specialist - 22 vacation days, Philippine public holidays, and 15 sick days - 105 days of paid maternity leave and up to 14 days of paid paternity leave for employees relocating to Manila Relocation and family support - Relocation support for you and your family — including flights, two weeks of accommodation, visas, paperwork, and logistics - Reimbursement of eligible pet relocation expenses - USD 2,500 per year for flights home - Baby and family stipends for employees relocating to Manila: USD 1,000 per month for each child under two and USD 500 per month for each child aged two to 18 Growth and team experience - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications - Company-sponsored trips to Manila to meet and work with your team in person - Regular team offsites, sports activities, and team events - High-performing teams can earn a dedicated beach house week in Southeast Asia We believe strong teams are built by people with different backgrounds, experiences, and points of view. Salmon is an equal opportunity employer, and we make hiring decisions based on skills, experience, and potential.

Location: Moldova OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy INFUSE is looking for a Senior DevOps Engineer to own and evolve our AWS infrastructure, CI/CD pipelines, and observability stack. You will bridge cloud engineering and software development across our entire product suite, including production LLM products and legacy systems requiring modernization. We need a proactive technical partner to lead our transition to EKS and GitHub Actions, enforce zero-trust security baselines, and mentor engineering teams along the way. As part of our dynamic team, your responsibilities in this role will include: Design, build and run secure AWS infrastructure (EC2 with Docker Compose, EKS) with Terraform and Ansible ; move suitable workloads from EC2 to EKS Build and maintain CI/CD in GitHub Actions ; move remaining Jenkins jobs to GitHub Actions Keep new and existing services at our security baseline: Cloudflare proxy with WAF and rate limiting, origins open only to Cloudflare, SSM access, no public SSH, least-privilege IAM, secrets rotation, regular patching and rebuilds, no containers running as root Own monitoring, alerting and logs on our standard stack ( Grafana, OpenTelemetry, Sentry ); on-call, incident response, post-incident reviews Own backups and regular restore tests Control AWS cost: tags, rightsizing, removing unused resources, estimates for new projects Regularly review the infrastructure we run, find risks and waste, and come with a plan without waiting for a ticket Take over infrastructure that is undocumented or run by contractors; document it and bring it under IaC, CI/CD and our standards Join new projects at kickoff: review hosting design, estimate cost, prepare infrastructure for the production-readiness review Work with internal teams and contractors ; set and enforce standards; mentor other engineers. Our ideal candidate possesses the following skills: 5+ Years in DevOps / SRE: Proven background operating mission-critical production environments, including 3+ years of hands-on experience running AWS at scale IaC & CI/CD Mastery: Expert with Terraform , highly proficient with Ansible , and experienced in designing production workflows with GitHub Actions Containerization & Kubernetes: Strong production experience with Docker and Kubernetes (specifically managed AWS EKS and Helm ) Production Security & Incident Management: Hands-on practice with platform hardening, zero-trust patterns, automated secrets management, system patching, and Cloudflare WAF/proxy configuration. Comfortable with on-call rotations, incident response, and executing verified backup restore drills English proficiency at B2 level or higher . What Else We Expect & Value: Application Ecosystem Familiarity: Experience supporting Node.js and Python microservices paired with PostgreSQL and Redis, as well as web stacks (WordPress, Nginx, PHP-FPM, MySQL) behind Cloudflare Modern Observability: Practical setup and maintenance of Grafana , Prometheus , and OpenTelemetry pipelines Core Scripting & Systems: Deep fluency in Linux administration, Bash , and Python scripting. Collaborative Leadership: Ability to effectively manage, document, and standardize work across internal teams and external contractor groups. AI-Augmented Workflow: Daily experience leveraging modern AI developer tools and agents ( Claude Code preferred ) to accelerate engineering output. Proactive & Autonomous Mindset: A self-starter who actively audits environments, catches vulnerabilities before they become outages, and brings actionable proposals to the table. Nice to have: Kafka (MSK), Jenkins, ClickHouse, Backstage, Sentry, Langfuse, SonarQube/Trivy/gitleaks, Cloudflare Zero Trust, AIOps, leading a small DevOps team, AWS/CKA certifications. What we offer: Fully remote work format Schedule: Monday–Friday, 2 PM – 11 PM Eastern European Time (including 1 hour break) A collaborative, innovation-first environment that values initiative and experimentation Paid time off and sick leave Reduced working hours on Fridays during the summer Days off on US national holidays and your birthday. Hiring process: Interview with Recruiter Technical Interview Interview with Hiring Manager Offer. If you meet these criteria and are excited about contributing to our team, we encourage you to apply. We look forward to meeting you! 👋

Location: Poland OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy INFUSE is looking for a Senior DevOps Engineer to own and evolve our AWS infrastructure, CI/CD pipelines, and observability stack. You will bridge cloud engineering and software development across our entire product suite, including production LLM products and legacy systems requiring modernization. We need a proactive technical partner to lead our transition to EKS and GitHub Actions, enforce zero-trust security baselines, and mentor engineering teams along the way. As part of our dynamic team, your responsibilities in this role will include: Design, build and run secure AWS infrastructure (EC2 with Docker Compose, EKS) with Terraform and Ansible ; move suitable workloads from EC2 to EKS Build and maintain CI/CD in GitHub Actions ; move remaining Jenkins jobs to GitHub Actions Keep new and existing services at our security baseline: Cloudflare proxy with WAF and rate limiting, origins open only to Cloudflare, SSM access, no public SSH, least-privilege IAM, secrets rotation, regular patching and rebuilds, no containers running as root Own monitoring, alerting and logs on our standard stack ( Grafana, OpenTelemetry, Sentry ); on-call, incident response, post-incident reviews Own backups and regular restore tests Control AWS cost: tags, rightsizing, removing unused resources, estimates for new projects Regularly review the infrastructure we run, find risks and waste, and come with a plan without waiting for a ticket Take over infrastructure that is undocumented or run by contractors; document it and bring it under IaC, CI/CD and our standards Join new projects at kickoff: review hosting design, estimate cost, prepare infrastructure for the production-readiness review Work with internal teams and contractors ; set and enforce standards; mentor other engineers. Our ideal candidate possesses the following skills: 5+ Years in DevOps / SRE: Proven background operating mission-critical production environments, including 3+ years of hands-on experience running AWS at scale IaC & CI/CD Mastery: Expert with Terraform , highly proficient with Ansible , and experienced in designing production workflows with GitHub Actions Containerization & Kubernetes: Strong production experience with Docker and Kubernetes (specifically managed AWS EKS and Helm ) Production Security & Incident Management: Hands-on practice with platform hardening, zero-trust patterns, automated secrets management, system patching, and Cloudflare WAF/proxy configuration. Comfortable with on-call rotations, incident response, and executing verified backup restore drills English proficiency at B2 level or higher . What Else We Expect & Value: Application Ecosystem Familiarity: Experience supporting Node.js and Python microservices paired with PostgreSQL and Redis, as well as web stacks (WordPress, Nginx, PHP-FPM, MySQL) behind Cloudflare Modern Observability: Practical setup and maintenance of Grafana , Prometheus , and OpenTelemetry pipelines Core Scripting & Systems: Deep fluency in Linux administration, Bash , and Python scripting. Collaborative Leadership: Ability to effectively manage, document, and standardize work across internal teams and external contractor groups. AI-Augmented Workflow: Daily experience leveraging modern AI developer tools and agents ( Claude Code preferred ) to accelerate engineering output. Proactive & Autonomous Mindset: A self-starter who actively audits environments, catches vulnerabilities before they become outages, and brings actionable proposals to the table. Nice to have: Kafka (MSK), Jenkins, ClickHouse, Backstage, Sentry, Langfuse, SonarQube/Trivy/gitleaks, Cloudflare Zero Trust, AIOps, leading a small DevOps team, AWS/CKA certifications. What we offer: Fully remote work format Schedule: Monday–Friday, 2 PM – 11 PM Eastern European Time (including 1 hour break) A collaborative, innovation-first environment that values initiative and experimentation Paid time off and sick leave Reduced working hours on Fridays during the summer Days off on US national holidays and your birthday. Hiring process: Interview with Recruiter Technical Interview Interview with Hiring Manager Offer. If you meet these criteria and are excited about contributing to our team, we encourage you to apply. We look forward to meeting you! 👋

Location: Worldwide Workplace: remote We are looking for a Recruiter to join our team.Requirements:Recruitment delivery: 2+ years of full-cycle recruitment experience with a proven track record of achieving hiring targets and recruitment KPIs.Talent sourcing: Strong expertise in proactive sourcing, headhunting, and building talent pipelines using LinkedIn Recruiter and other sourcing channels.Stakeholder management: Ability to build trusted partnerships with Hiring Managers, define hiring strategies, and drive efficient hiring decisions.Candidate assessment: Strong interviewing and evaluation skills with the ability to identify the best match based on competencies, motivation, and business needs.Recruitment analytics: Experience using recruitment metrics (Time-to-Hire, Offer Acceptance Rate, Funnel Conversion, etc.) to improve hiring performance and optimize recruitment processes.Process improvement & AI: Experience improving recruitment workflows and leveraging AI tools to increase sourcing efficiency, automate routine tasks, and enhance candidate experience.Communication & ownership: Excellent communication and relationship-building skills, with a proactive, results-oriented approach and Upper-Intermediate (B2) English or higher.Responsibilities:Own hiring results: Deliver hiring targets by achieving agreed recruitment KPIs, including Hiring Plan Completion, Time-to-Hire, Offer Acceptance Rate, and Quality of Hire.Manage end-to-end recruitment: Lead full-cycle recruitment for both IT and Non-IT positions, ensuring high-quality hiring across multiple business functions.Own challenging searches: Drive recruitment for complex, niche, and business-critical roles through proactive sourcing, headhunting, and creative talent acquisition strategies.Partner with the business: Build trusted relationships with Hiring Managers, define hiring strategies, challenge assumptions when appropriate, and facilitate efficient hiring decisions.Deliver outstanding candidate experience: Build long-term relationships with candidates while ensuring transparent, timely, and professional communication throughout the recruitment process.Continuously improve recruitment: Experiment with new sourcing approaches, AI tools, and recruitment methodologies to increase hiring speed, efficiency, and quality.Make data-driven decisions: Monitor recruitment metrics, identify bottlenecks, and proactively optimize hiring processes based on business needs and recruitment analytics.We offer:- High salary (plus performance bonuses and salary revision);- Work schedule: Mon-Fri (9h with 1h lunch break), flexible start 8:00-10:00;- 24-days holiday leave;- Corporate English lessons;- Exciting work challenges that allow you to grow to your full potential;- Strong team of like minded professionals who will be by your side to accomplish ambitious projects, and to stimulate your professional development and bring experience.

Location: Amsterdam, Netherlands; Berlin, Germany; London, United Kingdom; Poland; Prague, Czech Republic; Zurich, Switzerland 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. Role Summary Nebius Token Factory is building production-grade inference for open-source, customer, and internally optimized models. This role owns the path from model artifact to fast, reliable, cost-efficient endpoint. The work sits at the intersection of model internals, inference engines, serving architecture, benchmarking, and production deployment. What You Will Do Own a platform-level optimization pillar such as quantization, speculative decoding, KV -cache optimization, engine selection, or long-context serving. Create reusable evaluation, benchmarking, and rollout frameworks across multiple model families. Provide technical direction to MLEs, Applied Scientists, GPU kernel engineers, and infrastructure engineers on shared performance goals. Optimize LLM and VLM endpoints for latency, throughput, memory efficiency, GPU utilization, quality, and cost per token. Deploy, configure, benchmark, and extend inference engines such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, or similar systems. Build and productionize model-compression workflows, including quantization, quantization-aware training, distillation, low-bit serving, and accuracy recovery. Implement or integrate speculative decoding, draft-model approaches, KV -cache optimization, prefix caching, chunked prefill, continuous batching, and disaggregated prefill/decode serving. Build reproducible benchmark harnesses for TTFT , TPOT , tokens per second per GPU, p95/p99 latency, GPU memory, reliability, and cost per token. Partner with GPU kernel engineers and platform engineers to diagnose bottlenecks across model code, kernels, runtime, scheduler, gateway, and cluster layers. Write clear design docs, performance reports, rollout plans, and customer-facing technical explanations. Required Qualifications Strong Python and PyTorch engineering skills. Hands-on experience deploying or optimizing LLM, VLM , or high-throughput transformer inference systems. Practical knowledge of at least one modern inference stack such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, or equivalent internal systems. Strong understanding of transformer inference bottlenecks, including KV cache, attention, memory bandwidth, batching, parallelism, and long-context serving. Ability to reason quantitatively about latency, throughput, quality, utilization, and cost tradeoffs. Strong communication skills and ability to collaborate with research, kernel, infrastructure, product, and customer teams. Preferred Qualifications Experience with quantization-aware training, post-training quantization, FP8 , INT8 , INT4 , NVFP4 , MXFP4 , AWQ , GPTQ , SmoothQuant, or related techniques. Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or other inference acceleration methods. Experience with agentic workloads, including tool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration. CUDA or Triton familiarity, even if the role is not primarily a kernel-engineering role. Open-source contributions to vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, KServe, or related projects. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Belgrade; Lisbon Workplace: OnSite Aghanim is an integrated commerce, liveops automation, community engagement, and payments platform for video games.   Mobile games have traditionally depended on app stores for distribution, payments, and player relationships. We believe there is a better way. Aghanim helps game studios build direct relationships with players, sell directly, and build their future on their own terms. Today, more than 100 games worldwide are already building this future with Aghanim.   Our team brings together people across Los Angeles, New York, Seoul, Beijing, London, Lisbon, Belgrade and other locations around the globe, with deep expertise in gaming, fintech and technology. We move quickly, keep communication direct, and focus on getting things done. We believe the best people thrive when they have autonomy, ownership, and a stake in the company's success. [https://app.ashbyhq.com/api/images/user-content/4f457f07-466b-477b-b552-fbbabd850111/2de3a7cd-8843-41a9-8bbe-ceb897a42c4a/Logo%20(horizontal).svg] We’re looking for a Founding ML Engineer at Senior or Principal level to lead the transition of Newton, Aghanim’s AI product for partners, from proprietary model APIs to models we control. Newton already runs in production on frontier models. You’ll own the model layer end to end: data collection, evaluation, post-training, serving, and rollout. The goal is to preserve the quality partners rely on while reducing cost, improving speed, and keeping partner data within our infrastructure. You’ll work closely with the product to understand its behavior and partner expectations, then independently define the technical approach and priorities. Decisions about training, routing, and model replacement should be backed by production data and evaluations. KEY RESPONSIBILITIES - Build production data pipelines that capture versioned instructions, tool calls, outputs, costs, and outcomes, with anonymization, partner-level deletion, and expert corrections. - Develop benchmarks, regression tests, and code-based and LLM-judge evaluators using real Newton runs to measure factual accuracy, tool use, answer quality, cost, and latency. - Compare frontier and open-weight models, route tasks to suitable models, and identify where prompting, distillation, or post-training delivers the best results. - Train and adapt models using distillation, SFT, LoRA/QLoRA, and DPO on accepted trajectories and expert feedback; use RL where simpler approaches fall short. - Deploy models behind Newton’s existing interface, validate them through shadow runs, and manage rollout based on quality benchmarks and serving economics. Tech stack: Python, TypeScript, SQL, self-hosted Langfuse, TRL / Unsloth / Axolotl or managed training platforms, vLLM, serverless GPUs, GCP / Modal; open-weight models including Qwen, Gemma, DeepSeek, and GLM. REQUIRED QUALIFICATIONS - Hands-on experience post-training LLMs and shipping them to production using SFT, LoRA/QLoRA, DPO, and distillation. - Experience building evaluation systems from production data, including offline benchmarks, regression and behavior tests, and code-based and LLM-judge evaluators. - Understanding of agentic systems, including tool calling, multi-step trajectories, structured outputs, and the impact of changing the underlying model. - Practical experience serving models with vLLM or similar tools, quantization, and GPU deployment, including latency, cold-start, and cost tradeoffs. - Strong production Python and SQL skills, with enough TypeScript proficiency to modify product code and instrumentation independently. - Ability to understand product behavior and user expectations, translate them into measurable quality requirements, and decide when training is justified. - Experience independently owning a technical area, setting priorities, and working across an unfamiliar codebase and its design documents. - Regular use of AI coding agents, with a clear approach to verifying their output. PREFERRED QUALIFICATIONS - Experience migrating a production product from proprietary model APIs to self-hosted or open-weight models. - Experience with RL for LLMs, particularly GRPO with automatic verifiers. - Familiarity with Langfuse, Braintrust, or similar tracing and evaluation tools. - Experience with GCP, including Vertex AI, Cloud Run GPU, and BigQuery. - Interest in game monetization and analytics. WHY JOIN US - World-class team – work alongside experienced professionals from around the globe who have built products used by millions of players - High growth, high impact – be part of a fast-growing company where ideas turn into products and reach customers in days, not months - Autonomy and ownership – we trust people to make decisions, take initiative, and drive results - Modern tools and technology – use AI, automation, and modern tools as part of your everyday work - Equity – participate in the company's growth and long-term success

Location: Mississauga, Ontario Workplace: hybrid At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare. With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.  At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey. Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn. **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings. For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. Team Summary: The team is led by the VP, Product Marketing with 4 directors and 18 team members, aligned to PCC’s corporate objectives.  This team member will focus on PCC’s top priorities, focusing on new AI Product launches and driving growth across the Skilled Nursing product portfolio. Leading these initiatives is a Director, Product Marketing with 4 direct reports: a Senior PMM, 2 PMMs, and a Associate PMM.    Job Summary: The Product Marketing Manager establishes clear, differentiated positioning and messaging for Skilled Nursing packages and products that resonates with buyers. This role leads go-to-market planning for new products and releases, equips sales and marketing teams with the tools, content, and training they need to win, and serves as the voice of the market and customer for the product team. By connecting customer insight with product strategy, the Product Marketing Manager helps drive adoption, pipeline, and revenue growth. Key Responsibilities: Positioning, Messaging & Competitive Strategy Develop product positioning, value propositions, and messaging that resonate with the buying audience, and produce the source messaging blueprint or positioning guide. Create the competitive comparison guide for use in positioning against similar offerings from other organizations. Assist in product naming by providing market, competitive, and customer context. Product Launch & Go-to-Market Lead product introduction and launch planning, including development and measurement of KPIs. S upport the launch of new products and releases by defining product positioning and unique selling propositions, and by scoping and creating the required tools and collateral. Develop, enhance, and own distribution of public-facing product launch marketing materials. Sales Enablement & Sales Support Communicate the value proposition of the products to the sales team and develop the sales tools that support the selling process for PointClickCare solutions. Partner with the Sales Enablement team to lead sales training on new products and capabilities, including regular updates on product enhancements. Educate internal sales and marketing teams on ways to concisely demonstrate the strengths and features of our products and enhancements to existing and prospective customers. Act as a key Subject Matter Expert (SME) supporting complex sales inquiries, customer-facing product education, and roadmap updates. Collaborate with the sales team in complex sales situations, proactively providing clear value propositions, messaging, and tools to leverage in sales scenarios. Content, Campaigns & Thought Leadership Collaborate with marketing peers to drive development of a variety of content, including sales decks, solution sheets, customer references, thought leadership, and campaign assets. Work with marketing programs, brand management, and digital marketing teams to ensure appropriate product themes are communicated to the market. Provide guidance to marketing teams on themes for programs and events, ensuring they are equipped with content to deliver to customers and prospects. Publicly convey product and market strengths through blogs, presentations, and webinars. Work with customers to develop case studies, references, and testimonials. Market Intelligence, Customer Insight & Product Partnership Be the expert on our customers, including how and why they buy, their buying criteria, and regulatory considerations, with particular focus on the demands of different segments. Align closely with the product management team to facilitate the appropriate flow of information between teams. Develop and continuously deepen expertise in PointClickCare's products and services to construct and convey industry-leading use case scenarios. Required Skills & Qualifications: Bachelor's degree, or equivalent experience 4-6 years of product marketing experience Experience applying Product Management and/or Product Marketing principles and frameworks, such as Practical Product Management or Pragmatic Marketing Experience building consensus and collaborating across groups to get things done Polished professional with an enthusiastic attitude who thrives in fast-paced environments and adapts readily to change AI fluency and/or hands-on use of leading AI solutions Preferred Experience: Advanced degree in business or marketing, or equivalent experience Certification in Pragmatic Marketing or SiriusDecisions Product Marketing Experience with B2B SaaS healthcare technology (highly preferred) Experience with advanced analytics and/or AI product solutions (highly preferred) #LI-TW1 #LI-Hybrid It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment. When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com  PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The Canada base hourly rate for this position is $40.86 - $51.44 ($85,000 - $107,000), overtime eligible. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all Canada locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.

Location: Kazakhstan; Armenia; Serbia; Georgia Workplace: Remote Remote | UTC+8 | Core collaboration hours: 12:00–6:00 PM Manila Time Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region. 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors. Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries. If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us. Southeast Asia’s fintech moment starts here. About the role: As products, channels, and integrations multiply and regulatory requirements to protect customers and funds grow, you’ll own mobile security and antifraud as a dedicated product manager. What you’ll do: - Assess the current mobile app architecture and security posture, and define where it needs to evolve over the next 12+ months. - Prioritize incoming security and antifraud work, including InfoSec findings, by risk, impact, and effort. - Turn antifraud and risk requirements into product decisions and clear engineering tasks, working with mobile, backend, security, antifraud, data science, and compliance teams. What you’ll own: - Own the roadmap for mobile security and antifraud: objectives, success measures, scope, and release sequencing. - Own authentication and identity verification: passwords, OTP, biometrics, passkeys, Google and Apple login, account recovery, selfie verification, face matching, and liveness detection. - Own device enrollment, trusted-device management, and app protection: app integrity, root/jailbreak detection, and device attestation. - Define risk-based controls for sensitive actions and transactions, including step-up authentication and real-time fraud signals built with the antifraud team. - Track new fraud schemes and attack vectors, and turn findings into product changes. - Protect customers from account takeover, identity fraud, and account abuse, while balancing security with authentication conversion. What makes you a strong fit: - 4+ years in product management, including 2+ years owning mobile security, antifraud, authentication, or identity products - Technical foundation in iOS/Android app architecture and common mobile vulnerabilities (OWASP Mobile Top 10), enough to challenge engineering on technical decisions - Working SQL for analyzing fraud and security data - Track record of owning a domain end-to-end: discovery, prioritization, rollout, and performance evaluation - Ability to turn security and risk requirements into clear specs and engineering tasks - Intermediate English What we offer: Ownership and flexibility - Fully remote work with core collaboration hours from 12:00 to 6:00 PM Manila time (UTC+8) - Company-provided tools and equipment Health and time off - Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits - Access to an internal mental health support specialist - 22 vacation days, Philippine public holidays, and 15 sick days Growth and team experience - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications - Company-sponsored trips to Manila to meet and work with your team in person - High-performing teams can earn a dedicated beach house week in Southeast Asia

Location: Remote About us OpenZeppelin is the security standard onchain finance is built on. Founded in 2015, our mission is to accelerate the world's transition to an open financial system, built on open standards and secured by rigorous research. Our open-source Contract Libraries have facilitated over $35 trillion in onchain value and are used by 10 of the top 10 tokenized money market funds and 9 of the top 10 stablecoins by market cap. We combine AI-native security tooling with deep research and a decade of audit expertise to support leading institutions and crypto-native teams shaping the next generation of digital assets like DTCC, Fidelity, Coinbase, Uniswap, Aave, the Ethereum Foundation, and many more across the full secure development lifecycle. Please note: Always refer to OpenZeppelin's official job page for the most accurate information about our open roles, as we have seen multiple third party job sites posting inaccurate information. The Marketing Team The Marketing Team at OpenZeppelin drives awareness and adoption across every product and service we ship, from the flagship OpenZeppelin Contracts Libraries to security audits, developer tooling, and solutions for financial institutions. Working hand-in-hand with Product, Design, Sales, and Open Source Engineering, the team owns messaging, go-to-market strategy, content, and events that position OpenZeppelin as the security standard for onchain finance. What you'll be doing As OpenZeppelin’s Lead Product Marketer for Financial Services, you will own how we position, launch, and sell our solutions to banks, asset managers, and financial market infrastructures. You will lead the go-to-market for new institutional solutions, from positioning through launch and adoption, and make sure Sales has what it needs to win. You will work AI-native by default: building the workflows, agents, and tools that let you research faster, create better content, and give Sales assets that adapt to every account instead of going stale. You will Own positioning and messaging for our institutional solutions, defining value propositions, differentiators, and messaging by use case and buyer persona. Lead product launches for new institutional solutions, from launch plans and timelines through announcement, assets, and post-launch adoption. Enable Sales with AI-native assets: sales kits, pitch narratives, one-pagers, battlecards, and evaluation materials built to be customized per account and kept current, not static decks. Run AI-powered competitive and market intelligence by building workflows that track competitors, regulatory developments, and industry news, and turn them into actionable insights for Sales, Product, and leadership. Build use-case and solution pages directly in our CMS, explaining clearly what we offer, who it is for, and why it matters. Support early adopter and design partner programs, shaping the materials and narrative that turn institutional interest into qualified opportunities. Contribute to institutional content, including research reports, thought leadership, and newsletter topics, using AI workflows to research, draft, and repurpose efficiently. Create light social media content when valuable content or launches go live, in coordination with the wider Marketing team. Close the loop with the product owners by bringing customer and market feedback into roadmap and packaging discussions. Measure what matters by defining launch and adoption metrics and reporting on results. Location All positions at OpenZeppelin are 100% remote, however you should be located between UTC-5 and UTC+2 to be seriously considered for this position. You have 3+ years in product marketing at companies selling to institutions: financial services, digital asset service providers, or blockchain companies with an institutional customer base. A proven track record of marketing to banks, asset managers, or market infrastructures at a company that actually won their business. You already know what these buyers want, how they evaluate, and what makes them move. An AI-native way of working. You build and use AI workflows daily for content creation, research, competitive monitoring, and sales assets, and can show examples of what you’ve built. A solid understanding of digital asset and tokenization use cases, such as tokenized deposits, money market funds, repo, and stablecoins. Exceptional writing skills, with the ability to make complex technical and regulatory topics clear and credible for senior audiences. Experience working closely with Sales and Product to turn strategy into assets that are actually used in deals. Strong project management skills and comfort working through compliance and approval processes. A self-driven, collaborative mindset that thrives in dynamic environments. Nice to have Experience in product marketing for services (security, consulting, or professional services), not only software products. Experience building web pages through a headless CMS such as Sanity. Familiarity with blockchain technology and smart contract development. Experience running beta, pilot, or design partner programs. Experience with HubSpot or similar marketing automation tools. Logistics: Our interview process takes place on Zoom and tends to consist of the following stages: Recruiter Interview (30-45 min) Hiring Manager Interview (60 min) Team Interview (45 min) Leadership Interview (30 min) Paid, take-home work test (Lasting up to 10 days) Reference checks Please let us know if you require any accommodations for the interview process, and we’ll do our best to provide assistance. Benefits Meet your teammates at company gatherings around the world 😎 Enjoy the flexibility of fully remote work 🌎 Take the time you need with flexible time off 🏝 Grow your family with 8 weeks of paid leave for primary caregivers, 4 weeks for secondary caregivers, and a one-time $3,600 baby bonus 💙 Build your ideal home office with up to $500 in equipment support 🪑 Stay covered with medical insurance 🏥 Keep growing with learning and development opportunities 🧠 Get a monthly stipend for your preferred co-working space 💻 At OpenZeppelin , we are an equal opportunity employer and we value different perspectives. We are committed to building a diverse workforce. This includes but is not limited to gender, race, sexual orientation, religion, national origin and other characteristics that make each one of us unique. In this uniqueness, we find the most value. Come join us! Use of AI as part of the recruiting process As part of OpenZeppelin’s recruitment process, we may use automated tools, including artificial intelligence, to assist in reviewing applications and assessing candidate qualifications. These tools are used to support our People team by identifying relevant skills and experience, and are not used to make decisions solely by automated means. All hiring decisions involve human review. Any personal data provided as part of your application will be processed in accordance with OpenZeppelin’s Data Privacy Notice . If you have questions about this recruitment process or would like to request human review of your application, please contact us at talent@openzeppelin.com.

Workplace: remote Location : Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world. Responsibilities : Analyze and document business and scientific workflows involving externally licensed data Map end-to-end data flows, including data sources, databases, integrations, analytical tools, and downstream systems Gather and document business, functional, non-functional, data governance, and security requirements Work with stakeholders to define data access rules, user permissions, licensing restrictions, and entitlement requirements Assess existing authentication, authorization, and database access-control processes to identify gaps and improvement opportunities Define requirements for fine-grained data access controls, including row-level and column-level security, data masking, and policy-based access Document data lifecycle requirements, including retention, expiration, revocation, deletion, and auditability Identify dependencies and assess the impact of proposed changes on existing systems, integrations, and business processes Translate complex business and technical needs into structured documentation and prioritized requirements with acceptance criteria Collaborate with technical teams to define Proof of Concept (POC) scenarios, success criteria, and validation requirements Facilitate workshops and stakeholder discussions What we expect : Strong experience as a Business Analyst on complex data, data security, integration, or regulated-environment projects Experience working in the Life Sciences, pharmaceutical, biotechnology, or scientific research domains Strong understanding of RNA molecular biology, including gene expression, RNA processing, and regulatory mechanisms Knowledge of RNA-based technologies and their applications in clinical and laboratory diagnostics Hands-on experience gathering, analyzing, and documenting business, functional, and non-functional requirements, including data, security, and governance requirements Good understanding of relational databases, SQL concepts, data structures, schemas, and data flows Understanding of data security principles, including Identity and Access Management (IAM), authentication, authorization, user roles, and permissions Familiarity with fine-grained access-control and authentication concepts, such as row-level security, column-level security, data masking, policy-based access, and token-based authentication (e.g., OAuth, OIDC) Experience documenting data flows, data lineage, system dependencies, lifecycle and retention controls, audit requirements, and deletion obligations Ability to translate complex business, licensing, and regulatory requirements into clear, structured, and testable specifications Strong analytical thinking, problem-solving, communication, and technical writing skills Experience facilitating workshops and managing business and technical stakeholders Strong English communication skills Nice to have : Familiarity with scientific data workflows and externally licensed datasets Understanding of data licensing agreements, intellectual property protection, and data usage restrictions Experience working with enterprise data platforms, data catalogs, or data governance solutions Experience supporting Proof of Concept (POC) initiatives and evaluating technical solutions against business requirements Experience working in regulated environments with complex data security and compliance requirements Strong understanding of RNA molecular biology, including gene expression, RNA processing, and regulatory mechanisms. Knowledge of RNA-based technologies and their applications in clinical and laboratory diagnostics. Understanding of radioligand therapies, including mechanisms of action, target selection, development principles, and clinical applications. We offer : Competitive compensation Remote work Flexible working hours Continuous education, mentoring, and professional development programs A team with excellent tech expertise

-Разрабатывать computer vision и machine learning решения для архитектурных чертежей, технических документов, CAD и BIM-данных. -Строить пайплайны, объединяющие растровые изображения, векторную геометрию, структурированные инженерные данные, OCR и ML-модели.

-Разработка и развитие backend-сервисов для AI/Agent-платформы на Python. -Проектирование и реализация асинхронных task-processing pipeline: постановка задач, очереди, воркеры, статусы, retries, idempotency.

Location: San Francisco Bay Area, California; Los Angeles, California; Berkeley; Oakland; Daly City; San Mateo; Palo Alto, California; San Jose Workplace: remote About us At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA. Why Provectus Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems. Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive. Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented. Autonomous. You own the work from framing through to production, visible to clients and founders.  You own the method; nobody hands you a ticket. Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack. Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name. We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name. What you’ll do Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it. Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously. You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it. Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare. Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice. What we look for Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way. Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly. Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why. Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits. Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room. Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job. Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses). Nice to have Containers and orchestration (Kubernetes/ECS) and CI/CD in production. IaC depth: AWS CDK, CloudFormation, Terraform. Open-source contributions or public writing on applied AI. What we offer Full-time. On-site visits to client’s facilities and our office in NYC 1/week Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan. Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data. *No Visa sponsorship How we hire Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. Soft skills interview. Offer discussion. We’re real A person reads your application. We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team. We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates. You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO.

Location: New Jersey; New York; Connecticut Workplace: hybrid At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production. Then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter, without the layers, politics, and long wait for impact of a firm with a hundred thousand people. 350+ builders, 100+ customers in production, led by our founders since 2010, offices across North America, LATAM, and EMEA Why Provectus? Frontier access. Anthropic Preferred Partner: newest Claude models, real budgets, real problems. Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive. Embedded, not engaged. You are part of the customer’s team and inside their process, not a vendor running a project alongside it. Embedded is not staff augmentation. Autonomous . You own the work from framing through to production, visible to clients and founders. You own the method; nobody hands you a ticket. Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy maintenance grind, not a single stack. Craft & growth. Build beside senior FDEs on a Claude certified team, with a real platform (talks, OSS) to grow your name. We give you a stage: Claude certification, conference talks, open source contributions, published work under your own name. What you’ll do: Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive. You are the one who builds it Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously You won’t start from zero. Provectus builds industry Blueprints, working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice What we look for: Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands on today and intend to stay that way Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly Shipped GenAI/LLM systems to production, not demos, not notebooks. You’ve handled the parts that get hard after the prototype works You evaluate. You have built or owned an eval suite for a nondeterministic system, and you can explain what you measured and why Strong engineering fundamentals. Dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack Cloud native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits Presales experience. Credible with senior stakeholders: you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job Hands on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses) Nice to have: Containers and orchestration (Kubernetes/ECS) and CI/CD in production IaC depth: AWS CDK, CloudFormation, Terraform Open source contributions or public writing on applied AI What We Offer: Full time On site visits to client’s facilities and our office in NYC once a week Unlimited Vacation policy Generous health, vision, and dental insurance 401(k) matching plan Base salary $180k to $250k + bonuses; OTE up to $300k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data No Visa sponsorship We’re real: A person reads your application. We filter out AI generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We’d be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Cofounder & CEO How we hire: Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. Soft skills interview. Offer discussion.

Location: New York City Metropolitan Area; New Jersey; New York; Manhattan, New York; Massachusetts; Connecticut; Brooklyn, New York Workplace: remote About us At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA.  Why Provectus Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems. Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive.  Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented. Autonomous. You own the work from framing through to production, visible to clients and founders.  You own the method; nobody hands you a ticket. Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack. Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name. We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name. What you’ll do: Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it. Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously. You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it. Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare. Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice. What we look for: Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way. Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly. Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why. Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits. Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room. Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job. Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses). Nice to have: Containers and orchestration (Kubernetes/ECS) and CI/CD in production. IaC depth: AWS CDK, CloudFormation, Terraform. Open-source contributions or public writing on applied AI. What we offer: Full-time. On-site visits to client’s facilities and our office in NYC 1/week Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan. Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data. *No Visa sponsorship We’re real A person reads your application. We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team. We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates. You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO. How we hire: Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. Soft skills interview. Offer discussion.

Location: USA Workplace: Remote Remote, worldwide · Freelance course project with a path to full-time We’re hiring on behalf of a global hands-on tech-education platform used by over a million engineers to learn DevOps, cloud, Kubernetes and AI. Its courses are built around real labs, not slides, and taught by practising engineers who are great on camera. We’re looking for a machine learning practitioner who loves teaching to create and present ML courses for engineers, from foundations to training their own models. This role suits you if you already teach as part of what you do: you’ve published courses on Udemy, Pluralsight, Coursera or YouTube, written a book, taught at a university or bootcamp, or regularly run workshops and talks. How it works - It starts with one paid course project. You can do it alongside your current job. There’s no fixed weekly-hour requirement, just a delivery plan you agree on together. A typical project takes around 3 months. - The goal is long-term. The team is growing its internal trainer pool, and the first project is how both sides find out if it’s a fit. After that, it can lead to a full-time role or more course projects. - A fixed fee per course is agreed upfront, based on course length and topic complexity. Fees are competitive, and advanced topics and exceptional instructors are paid accordingly. Payment is made on delivery of the completed course. - Fully remote with flexible hours. Expect a weekly sync, Slack communication, and some time-zone overlap with a Europe/Asia-based team. What you’ll do - Shape the course with the curriculum team: sections, lessons, labs and notebooks. - Write lab specs that a dedicated labs team builds, then test them. - Write and narrate short, story-driven video lessons (about 6 minutes each) that make ML intuitive. You’re welcome to use AI to draft, but the final script should sound like you. - Record demo and lab-solution walkthroughs. - Work through structured editorial feedback, especially on your first section. Video editing, animation, lab infrastructure and publishing are all handled by the production team. You focus on the teaching. What we’re looking for - Strong, hands-on ML foundations: you’ve trained, evaluated and shipped models yourself (scikit-learn, PyTorch or TensorFlow). - The ability to explain the “why” behind ML clearly to engineers new to it. - Excellent spoken and written English. All courses are scripted, narrated and delivered in English, so you need clear, natural, easily understood English and confidence on camera. - A genuine passion for teaching, shown through courses, tutorials, talks, workshops or mentoring you’ve done because you enjoy it. - Current with the field and keen to keep learning. - Clear, engaging spoken English and confidence on camera. - Openness to an established teaching methodology and to editorial feedback. Nice to have - Published online courses, a book, or university/bootcamp teaching experience. - Experience with fine-tuning, MLOps or deploying models in production. - Cloud ML certifications (AWS, Azure, GCP, Databricks). How to apply Send your CV or LinkedIn profile, plus a link that shows how you teach: a course, a talk, a tutorial or a short video.

Location: Singapore ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE ROLE We are looking for a hands-on Revenue Operations Manager to partner closely with APAC sales leadership, drive commercial planning and performance, and build a growing team focused on improving sales execution across the region. Based in Singapore, you will support a 100+ person GTM organization across Southeast Asia, ANZ, India, South Korea, and Japan. You will navigate the needs of markets at different stages of growth, balancing regional priorities with the development of consistent, scalable operating practices. As part of the global RevOps organization, you will work across analytics, systems, and operations to turn business insights and field feedback into improvements in sales execution and productivity. You will also help shape how we leverage AI and automation to simplify processes, reduce manual work, and enable our sales teams to move faster. KEY RESPONSIBILITIES 1. Partner with regional leadership on commercial strategy. Evaluate growth opportunities and business performance across APAC markets, translate regional objectives into quarterly priorities, and recommend where to focus sales resources and investments. 2. Own territory planning and execution. Lead territory design, rollout and ongoing management with Sales and global RevOps; align account allocation to market potential, seller capacity and ramp, and resolve coverage gaps. 3. Drive capacity and quota planning. Partner with Sales, Finance and RevOps on headcount, capacity and regional quotas; translate plans into territory targets and track attainment. 4. Shape regional pipeline targets. Partner with Sales and Marketing to establish pipeline creation and coverage targets, identify gaps across markets and segments, and develop targeted actions to improve pipeline health and conversion. 5. Run the regional operating cadence. Lead weekly, monthly and quarterly business reviews that produce decisions, owners and deadlines; track performance, escalate blockers and close out actions. 6. Strengthen forecast discipline. Challenge assumptions with sales leaders and managers, inspect changes and surface risks, slippage and upside early. 7. Improve productivity through AI and automation. Gather seller and leadership feedback, prioritize opportunities with GTM Systems, define requirements, pilot improvements and measure adoption, time saved and execution speed. 8. Deliver cross-functional change. Represent APAC in global initiatives, surface regional business needs to global teams, and coordinate implementation and adoption across Sales, Finance, Marketing, Enablement, and GTM Systems. MUST-HAVES - Experience leading and developing sales operations, revenue operations or commercial business partnership teams across the APAC region - A track record of translating analysis into action and measurable results. - Credibility with senior sales leaders and the ability to influence decisions without formal authority. - Strong commercial judgment across territories, capacity, quotas, pipeline, forecasting and seller productivity. - Experience delivering cross-functional improvements in a growing B2B technology business. - Ability to operate independently, prioritize competing business needs, and drive execution in a fast-paced, evolving organization. NICE-TO-HAVES - Experience supporting sales organizations across multiple APAC markets. - Experience building and scaling commercial operations in a high-growth organization. - Experience identifying and implementing process improvements through automation and AI. FOUNDATIONAL SKILLS - Analytical problem solving. - Clear communication and constructive challenge. - Prioritization, ownership and follow-through. - Coaching and delegation. - Process improvement and AI/automation judgment. WHAT SUCCESS LOOKS LIKE - Regional leaders have clear priorities backed by evidence and practical action plans. - Territories, capacity and quotas are aligned to regional opportunity and field realities. - Pipeline and performance gaps trigger timely interventions with measured outcomes. - Business reviews consistently produce decisions and completed follow-up. - Business partners earn leaders’ trust and operate with increasing independence. - Seller feedback leads to adopted process improvements that save time and accelerate execution. - Regional feedback improves global priorities, and global initiatives are used effectively in the field. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Europe We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, we may help to find the right ones. We are currently looking for a Data Analyst for Spinlab. Spinlab helps slot gaming leaders unlock the potential of their data, enhancing business outcomes and strengthening their competitive edge in the market. They collect and process data using advanced methods and technologies to provide their clients with clear, actionable recommendations based on real metrics. SpinLab's goal is not just to collect data but to transform it into meaningful business insights that improve efficiency and help products grow. Responsibilities: - Analyze large volumes of game and player data to identify patterns, trends, and dynamics, and turn them into clear business conclusions. - Translate findings into practical recommendations for product improvements, highlighting what works, what doesn’t, and what opportunities to explore - Perform deep-dive investigations into performance anomalies or game features to explain what happened and why - Collaborate closely with Data Scientists, Data Engineers, and Product Managers to shape hypotheses, validate them with data, and contribute hands-on to data science development tasks. - Develop robust statistical and causal inference analyses to identify drivers of user behavior. - Contribute to the development and validation of predictive models, including feature engineering, dataset preparation, model evaluation, and A/B testing, in collaboration with Data Scientists. - Communicate complex insights in a simple, compelling way to both technical and non-technical audiences. - Help define metrics for new products or features, expanding high-level requirements with your analytical thinking and product insights. - Build dashboards and reports to help stakeholders monitor key KPIs and make data-driven decisions Requirements: - Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field. - 5+ years of experience as a Data Analyst or Data Scientist, preferably in the gaming or tech industry. - Strong analytical and problem-solving mindset; ability to find the story in the data: uncovering trends and explaining them in clear business terms. - Experience working with large datasets and distributed computing tools (BigQuery, Spark, Hive, or similar). - Strong hands-on experience with SQL for complex queries and data wrangling. - Solid data visualization skills (Tableau/Power BI) and advanced Python, with practical experience using common data science libraries (e.g., pandas, scikit-learn). - Strong experience of experimental design and statistical testing (A/B testing, hypothesis testing, confidence intervals). - Working knowledge of machine learning fundamentals (supervised learning, feature engineering, training/validation, evaluation metrics) and familiarity with causal inference and uplift modeling. - Hands-on experience contributing to ML workflows or model development, with the ability to implement and test well-scoped tasks alongside Data Scientists. - Practical experience using AI coding assistants or other AI tools in day-to-day work, with a focus on automation, efficiency, and output quality. - English B2+ Will be a plus: - Knowledge of the iGaming industry or understanding of slot game mechanics - Ability to look at games from players' point of view - Product mindset: the ability to go beyond numbers and propose actionable solutions that make an impact. Benefits: - 25 working days of vacation. - 15 sick leaves. - 1 paid day off for celebrating your birthday. - Paid Ukrainian National Holidays. - Medical insurance is provided after completing the probation period (3 months from the start date). - Budget for education. - Paid for individual English classes. - Technical equipment that meets the working needs. If this role sounds like a fit — we’d love to hear from you! Just send over your CV and anything else you’d like us to consider. We’ll review everything within five working days, and if your background matches what we’re looking for, we’ll get in touch to set up a call and get to know each other better.