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Location: United States; Denver; Chicago; Seattle; Austin; Phoenix; New York; Los Angeles; Boston; San Francisco Workplace: Remote Recognized on the 2025 Forbes Cloud 100 list https://www.forbes.com/companies/clickhouse/?list=cloud100, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 4,000 customers and $250M ARR https://clickhouse.com/blog/clickhouse-tops-250m-arr-and-4000-customers, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company's sustained, accelerating momentum was recently validated by a $400M Series D financing round https://clickhouse.com/blog/clickhouse-raises-400-million-series-d-acquires-langfuse-launches-postgres. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We're on a mission to transform how companies use data. Come be a part of our journey! We're hiring a Product Manager to own partner integrations at ClickHouse. This role owns how ClickHouse shows up inside the platforms our customers already use: embedded, native experiences across the hyperscalers and developer platforms, and deeper technical integrations with strategic partners like dbt, Fivetran, Hex, and Sigma. There is a growing surface of partner work already in motion, and this role shapes where we invest in co-innovation opportunities. This is one of the most cross-functional roles at ClickHouse. You'll work across multiple engineering teams, our partnerships and solutions teams, and the partners themselves to deliver meaningful co-innovation and integrations with complementary technologies. You'll own the technical side of our House Mates partner program and be the person who navigates the multi-org reality of getting an integration certified, listed, and live. This is a hands-on role: you'll write the specs, run the partner calls, drive certification processes, and coordinate across teams to get things over the line. YOU WILL - Own the product strategy, roadmap, and execution for ClickHouse's Cloud integrations with strategic partners - Seek out complementary innovation opportunities with partners. Define what a "better together" integration looks like with each strategic partner, and drive it from joint roadmap through launch. - Navigate the trade-offs of embedded integrations: billing and metering, identity and auth, security and data residency, and coordination across ClickHouse and partner teams. - Project-manage complex, multi-org launches: marketplace listings, certification processes, partner co-marketing, and GA timelines across multiple organizations. - Own the technical standards and certification criteria for integrations submitted through the House Mates partner program. - Measure and communicate co-innovation business impact, adoption and product strategy to executive leadership. - Represent ClickHouse externally at partner events and in joint content. YOU BRING - Experience shipping integrations into third-party platforms before: hyperscaler marketplaces, embedded or native integrations, ISV partnerships, or OEM/white-label work. - An understanding of the trade-offs that make or break a partner integration, billing, auth, security, cross-team dependencies, and have made those decisions in the past. - A strong project management lens and are comfortable owning a launch that depends on five teams across two companies. - Patience and resilience with partners who are unresponsive or have their own competing priorities, and you find creative ways to keep things moving anyway. - Technical ability to understand an integration end to end, from provisioning and auth to billing and data flow, and to hold a credible conversation with engineers about APIs, architecture, and technical trade-offs. - Energy and excitement for external-facing work: partner calls, customer conversations, and representing the product publicly. - Hands-on and high ownership ability. You write the specs, run the partner calls, and stay close to the details. - Comfort in ambiguity and fast-moving environments. PREFERRED QUALIFICATIONS - Hands-on experience building partner integrations with hyperscalers and modern technology companies. - Experience running or supporting a technology partner program. - Background at a database or data infrastructure company; familiarity with ClickHouse or peers like Snowflake, BigQuery, or Databricks. - Experience working in remote, multi-timezone environments. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role As a Senior Technical Program Manager, you will own the end-to-end  delivery of GPU clusters and other critical IT infrastructure components that  power next-generation AI workloads. In this high-impact role, you’ll  coordinate engineering, networking, construction, and operations teams to  deliver GPU clusters and critical IT infrastructure at hyperscale. You’ll  work closely with infrastructure leadership to define strategy, manage risk,  and ensure on-time, high-quality launches. You’ll play a key role in scaling  our global infrastructure footprint across the United States market. Travel: This position may require on-site presence at data centers during key deployment phases. Your responsibilities will include: Lead  end-to-end delivery of new data center programs, from design through  handover to operations. Define  and manage scope, schedule, and risks, maintaining focus on critical  paths and proactive issue resolution. Translate  business and technical requirements into actionable project plans and  measurable deliverables. Oversee  vendor and contractor execution, ensuring quality, budget, and schedule. Provide  structured program reporting, including dashboards, documentation, and  executive updates. Technical Scope & Expectations This role requires hands-on experience with physical infrastructure  delivery, not only software or coordination-based program management. You should be comfortable working across multiple layers of  infrastructure, including: Data center environments: understanding of IT infrastructure readiness (power, cooling, space,  and networking dependencies before hardware installation); Compute infrastructure: experience with large-scale server deployments (GPU-based systems are  a strong plus); Networking: familiarity with high-bandwidth fabrics (e.g., InfiniBand or  equivalent), cabling, and integration dependencies; Commissioning &  bring-up: exposure to system validation, burn-in testing,  and readiness criteria before handover to operations. You are not expected to be an engineer, but you should be able to: Engage in technical  discussions confidently. Identify risks related to  infrastructure readiness and sequencing. Challenge assumptions and  drive resolution across engineering teams. We expect you to have: 7+ years of experience in technical program or project management, with direct involvement in large-scale IT infrastructure deployments. Solid technical background in relevant domains, with the ability to engage deeply in technical discussions and challenge solutions where needed. Proven ability to stay focused on critical paths and drive results in fast-paced, changing environments. Communication and stakeholder management skills; able to translate complex topics clearly. Leadership by influence and example in cross-functional or matrixed teams. Proficient with modern project management tools and methodologies (e.g., Jira, Asana, hybrid Agile/Waterfall). It will be an added bonus if you have: Understanding of construction projects structure and key risk factors in facility build-outs. Knowledge of HPC Experience in business processes design or automation tools development. PMP, PRINCE2, or similar industry certifications. Key Employee Benefits in the US: Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) Plan: Up to 4% company match with immediate vesting. Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote Work Reimbursement: Up to $85/month for mobile and internet. Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage. Compensation We offer competitive salaries ranging from $115K to $275K OTE, which includes base salary and performance bonus. Equity in the form of RSUs may be available at certain salary grades. Join Nebius Today! Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Singapore Workplace: Remote The Senior People Operations Partner serves as the primary strategic People Operations partner for leaders and employees across the APJ region. This role combines regional partnership, program support, operational excellence, and risk management to ensure people programs are effectively implemented and scaled across the region. The Senior People Operations Partner works closely with leaders, People Business Partners, Legal, Finance, and Recruiting teams to drive organizational effectiveness, operational readiness, and compliance with company policies and employment requirements. The role serves as a key bridge between global people strategies and regional execution, ensuring initiatives are successfully implemented while addressing the unique needs and complexities of the APJ region. WHAT YOU WILL DO: STRATEGIC PROGRAM LEADERSHIP - Support regional implementation of People programs and initiatives - Support performance management, talent, and compensation processes - Coordinate cross-functional stakeholders to ensure successful program execution - Manage regional workstreams for high-impact organizational projects REGIONAL COMPLIANCE & GOVERNANCE - Partner with the Global Compliance & Infrastructure Lead to operationalize global compliance requirements within APJ - Coordinate implementation of policy updates and employment-related requirements - Identify emerging regional risks and recommend mitigation strategies GROWTH & EXPANSION INITIATIVES - Lead regional workstreams related to entity transitions, workforce expansions, and operational changes - Coordinate vendor assessments and regional operational requirements - Ensure people processes effectively support business growth objectives PROCESS EXCELLENCE & OPTIMIZATION - Identify opportunities to improve scalability, efficiency, and employee experience - Drive automation and workflow optimization initiatives - Partner on Workday and systems-related process improvements - Establish operational governance and reporting mechanisms - Monitor program effectiveness and recommend enhancements - Support regional immigration and mobility matters, partnering with employees, internal stakeholders, and external immigration providers as needed What you bring along: - Experience in People Operations within a global, multi-country organization - Demonstrated experience supporting and driving People initiatives across APJ, ideally including markets such as India, Singapore, Australia, and Japan - Strong understanding of country-specific employment practices, compliance requirements, and People Operations processes - Experience supporting international growth and expansion, including entity setup/transitions, new-country launches, or workforce expansion - Proven ability to independently lead complex, cross-functional, multi-country initiatives and partner effectively with Legal, Finance, Payroll, Benefits, and People teams PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The InfoSec team protects Affirm’s systems and data from evolving threats. We manage security risk, monitor vulnerabilities, and enforce protective controls across the company. The team leads incident response, compliance, identity and access management, and employee training. Our goal is to ensure that security is built into every system and decision at Affirm. We maintain a secure, trustworthy environment so the business can operate and grow with confidence. In this role, you'll build and run Affirm's end-to-end security review process for enterprise AI/LLM systems evaluating architecture, prioritizing AI-specific risks, and designing the controls and guardrails that let Affirm adopt AI safely, partnering across Security, Legal, Privacy, Compliance, IT, and Engineering to make it scalable and repeatable. What you’ll do You will lead and continuously improve Affirm's enterprise AI security review process  evaluating the architecture, data flows, permissions, and design of internal AI tools, agentic/MCP-based systems, and AI features — and embed security requirements into the design phase. You will threat model AI/LLM-based systems and their data flows for risks such as prompt injection, insecure output handling, excessive agency, tool-permission abuse, data poisoning, and sensitive-data exposure, and drive remediation. You will review source code, system prompts, agent configurations, and tool/permission manifests (e.g., MCP definitions), and help tool owners build security-focused test cases and red-team/eval scenarios to verify requirements before launch. You will design and build security guardrails and tooling for AI systems permission boundaries, authn/authz for agentic tools and MCP servers, data-handling controls, logging/monitoring, and policy-as-code (Python, IaC) — to enforce and automate AI security. You will evaluate the AI capabilities of third-party SaaS vendors (e.g., Notion, Slack, Google Workspace) as part of vendor and SaaS security reviews and drive risk-based adoption decisions. You will identify emerging classes of AI/agentic security vulnerabilities, develop mitigations before they become incidents, and contribute to AI-specific incident response playbooks as a senior escalation point. You will lead cross-functional AI security initiatives to closure, advise technical and executive stakeholders as an internal point of expertise, and stay current on the AI security landscape (OWASP LLM Top 10, MITRE ATLAS) to translate new research into practical controls. What we look for You are a seasoned security engineer with hands-on experience designing, evaluating, and maintaining security architecture for AI/LLM-based systems, plus deep expertise in enterprise security systems, processes, and controls. You have practical experience threat modeling and reviewing AI/LLM applications (e.g., against the OWASP Top 10 for LLM Applications) and securing agentic systems and tool-calling frameworks — MCP servers/clients, tool-permission models, and agent-to-tool trust boundaries. You have built AI governance artifacts (acceptable use policy, data-handling standards, vendor/model risk assessments) and evaluated AI capabilities within SaaS platforms (e.g., Notion AI, Slack AI, Google Workspace AI, GitHub Copilot) as part of vendor reviews. You have experience with enterprise tools for AI visibility and control (e.g., CASB, IDP/Okta) and familiarity with the corporate systems where AI is adopted (OpenAI, Anthropic, GitHub, Google Workspace, Slack, Notion, Jira). You can build security tooling, guardrails, and detections with Python or similar, and deploy cloud services and policy-as-code using Infrastructure as Code (Terraform or similar); familiarity with Kubernetes and AWS. You understand how LLMs and agentic systems are built (RAG, embeddings, fine-tuning, tool use) and authn/authz models (OAuth2, SAML, service-account/non-human identities) for agentic and machine-to-machine access, with strong application-architecture and threat-modeling fundamentals. You can lead cross-functional initiatives across Security, Engineering, Legal, Privacy, and Compliance and drive them to closure, and communicate effectively with technical and executive audiences. Experience in regulated environments (SOC 2, PCI DSS) and applying IAM to non-human/agent identities is a plus. This posting is for an existing vacancy This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. Base Pay Grade - P Equity Grade - 7 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: $173,000 - $233,000 #Li-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The InfoSec team protects Affirm’s systems and data from evolving threats. We manage security risk, monitor vulnerabilities, and enforce protective controls across the company. The team leads incident response, compliance, identity and access management, and employee training. Our goal is to ensure that security is built into every system and decision at Affirm. We maintain a secure, trustworthy environment so the business can operate and grow with confidence. In this role, you'll build and run Affirm's end-to-end security review process for enterprise AI/LLM systems evaluating architecture, prioritizing AI-specific risks, and designing the controls and guardrails that let Affirm adopt AI safely, partnering across Security, Legal, Privacy, Compliance, IT, and Engineering to make it scalable and repeatable. What you’ll do You will lead and continuously improve Affirm's enterprise AI security review process  evaluating the architecture, data flows, permissions, and design of internal AI tools, agentic/MCP-based systems, and AI features — and embed security requirements into the design phase. You will threat model AI/LLM-based systems and their data flows for risks such as prompt injection, insecure output handling, excessive agency, tool-permission abuse, data poisoning, and sensitive-data exposure, and drive remediation. You will review source code, system prompts, agent configurations, and tool/permission manifests (e.g., MCP definitions), and help tool owners build security-focused test cases and red-team/eval scenarios to verify requirements before launch. You will design and build security guardrails and tooling for AI systems permission boundaries, authn/authz for agentic tools and MCP servers, data-handling controls, logging/monitoring, and policy-as-code (Python, IaC) — to enforce and automate AI security. You will evaluate the AI capabilities of third-party SaaS vendors (e.g., Notion, Slack, Google Workspace) as part of vendor and SaaS security reviews and drive risk-based adoption decisions. You will identify emerging classes of AI/agentic security vulnerabilities, develop mitigations before they become incidents, and contribute to AI-specific incident response playbooks as a senior escalation point. You will lead cross-functional AI security initiatives to closure, advise technical and executive stakeholders as an internal point of expertise, and stay current on the AI security landscape (OWASP LLM Top 10, MITRE ATLAS) to translate new research into practical controls. What we look for You are a seasoned security engineer with hands-on experience designing, evaluating, and maintaining security architecture for AI/LLM-based systems, plus deep expertise in enterprise security systems, processes, and controls. You have practical experience threat modeling and reviewing AI/LLM applications (e.g., against the OWASP Top 10 for LLM Applications) and securing agentic systems and tool-calling frameworks — MCP servers/clients, tool-permission models, and agent-to-tool trust boundaries. You have built AI governance artifacts (acceptable use policy, data-handling standards, vendor/model risk assessments) and evaluated AI capabilities within SaaS platforms (e.g., Notion AI, Slack AI, Google Workspace AI, GitHub Copilot) as part of vendor reviews. You have experience with enterprise tools for AI visibility and control (e.g., CASB, IDP/Okta) and familiarity with the corporate systems where AI is adopted (OpenAI, Anthropic, GitHub, Google Workspace, Slack, Notion, Jira). You can build security tooling, guardrails, and detections with Python or similar, and deploy cloud services and policy-as-code using Infrastructure as Code (Terraform or similar); familiarity with Kubernetes and AWS. You understand how LLMs and agentic systems are built (RAG, embeddings, fine-tuning, tool use) and authn/authz models (OAuth2, SAML, service-account/non-human identities) for agentic and machine-to-machine access, with strong application-architecture and threat-modeling fundamentals. You can lead cross-functional initiatives across Security, Engineering, Legal, Privacy, and Compliance and drive them to closure, and communicate effectively with technical and executive audiences. Experience in regulated environments (SOC 2, PCI DSS) and applying IAM to non-human/agent identities is a plus. Base Pay Grade - P Equity Grade - 13 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $220,000 - $280,000 USA base pay range (all other U.S. states) per year: $195,000 - $255,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Los Angeles, California Workplace: OnSite Who We Are X-LAB is the in-house performance bicycle line by XDS, which has quietly become the world’s largest and most vertically integrated bicycle manufacturer and the largest maker of carbon fiber frames, supplying many of the top brands in cycling and mobility. Today, XDS is quiet no more. XDS launched X-LAB in April 2026 as the global consumer brand to take the industry by storm. Three decades of experience building exceptional bicycles have culminated into a unique line of road, gravel, electric, city, hybrid, and soon mountain bikes that riders and shops can’t stop talking about. X-LAB is the new inflection point for the category. We launched in April 2026 with a full lineup across road, gravel, city, fitness, e-bike, and soon mountain categories, with validation from the highest and most demanding levels of the sport through the XDS Astana Team and a rapidly growing network of dealers. Our ambition is not simply to sell more bikes. It is to make great bikes more integrated, more accessible, and better supported through the independent shops and communities that grow cycling and bring in new riders. That is what makes this moment exciting. Joining X-LAB means shaping a company with unmatched production scale, real engineering R&D depth, and the confidence to earn trust… one rider, one dealer, one product, and one market at a time. Are you ready to ride ahead of the pack? Learn more at https://xds.co/https://xlabbikes.com See an insider’s look of our factory: Youtube Video https://www.youtube.com/watch?v=06SheO5XFsY __________________________________________ XDS is seeking a Principal Product Manager to join us as we establish XDS in the North American market. You'll own and develop multiple categories, managing product vision from concept to market and beyond. You’ll work closely with engineering, design, marketing, and distribution partners to create more bikes that riders love. You’ll balance near-term and long-term vision and drive the US product line while staying fully connected to real world cycling. This role is cross functional at its core - this PM will work closely with teams across XDS to bring products to market, develop and grow product lines, and enhance our existing products and features. The ideal candidate is obsessed with bikes or vehicles in general, highly analytical, resourceful, customer focused, and thrives under time constraints to meet deadlines. This position is full time and onsite in our Santa Monica HQ. What You’ll Do - Own and manage X-LAB product lines end-to-end, leading the full product lifecycle from concept through launch, delivery, and iteration - Lead the definition, development, and launch of products that deliver world-class rider experience and strengthen X-LAB’s position as a leading performance brand - Collect feedback from riders, dealers, and service teams, and work closely with engineering and design teams to drive continuous product improvements - Partner closely with Marketing to translate product features, technologies, and engineering advantages into compelling stories and launch assets - Develop product go-to-market materials, including product training content, user manuals, assembly guides, technical documentation, and FAQs - Build alignment and buy-in for product vision across internal teams, suppliers, dealers, and key external partners You’re a Great Fit With: - 6+ years of experience in product development, consumer hardware, automotive, micromobility, cycling, or related industries - Proven track record of successfully bringing high-volume consumer products to market, ideally at 100,000+ unit scale - Strong familiarity with the full product development lifecycle, including ideation, prototyping, vendor management, engineering, tooling, quality assurance, certification, mass production, deployment, and product iteration - Experience working closely with suppliers, OEM/ODM partners, and manufacturing teams - Willingness and enthusiasm for domestic and international travel (approximately 25%) - Ability to work cross-functionally and thrive in a fast-paced environment Success Metrics - Alignment of international and US Product team initiatives - Successful launch of new SKUs - Complete and comprehensive multinational knowledge base __________________________________________ Our Compensation and Benefits - Competitive salary ($160-$180k base + $10-20k bonus ) - Demo bike fleet - Generous time off policy - Comprehensive medical, dental, and vision coverage - Office space in beautiful Santa Monica, California Equal Opportunity XDS is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members.

Location: Bremen, Germany Supervisor: Prof. Dr. Alexander Tormasov About the Position Constructor Knowledge Labs (CKL), in collaboration with Constructor Technology, invites applications for a PhD position in machine learning for software engineering and formal methods, on the Constructor Fabric project. Constructor Fabric turns a company's informal knowledge into production software through a pipeline of composable capability units called gears : requirements → architecture → product fit → framework (G1) → application → runtime. We are building a World Model over that pipeline — a model that does not just generate code, but predicts the consequences of an architectural decision: total cost of ownership, unintended side effects, latency and failure behaviour, and whether a proposed composition is even admissible. The central object is not a digital twin of the application but its formal architectural skeleton : gear contracts (GearSpec), a typed attributed hypergraph of the application (AppGraph), a composition algebra that defines which assemblies are legal, and several semantic projections (types, protocols, resources, security) over which properties are proved, refuted by counterexample, or reported as an explainable gap . All of it is written in a domain-specific language whose syntax trees and graphs we keep in a projectional editor (JetBrains MPS) — so the DSL is not a convenience layer, it is the thing that defines the model's state space and the boundary of what the model is allowed to propose. What you will work on Depending on your background, one or two of: Formal skeleton and composition — GearSpec as a contract $(Requires, Provides, State, Effects, Assumptions, Guarantees, Parameters)$; AppGraph as a typed attributed hypergraph; an algebra of assembly (sequential, parallel, feedback, refinement); semantic projections and system-level invariants over trajectories. Architecture synthesis as an inverse problem — given a specification, load and constraints, find the composition of gears that realises it. Constraint solving and MCTS as the baseline; a learned transition/value model for ranking and pruning; LLM proposals treated strictly as candidate hypotheses that a DSL parser, type checker and property checks must then admit or reject. DSL design and language engineering — the gear DSL and its glue layer decide which AppGraphs are expressible at all, and therefore where the search space ends. This thread covers the abstract syntax and static semantics of that DSL; the requirement that an architectural decision be unbypassable by construction (you must not be able to wire authentication around the Auth Resolver); what happens to the language when gear contracts change or a 201st gear is added; projectional representation of graphs with cycles; and the open hypothesis that a specialised G1-DSL is generated together with every G1. Local transition models and pipeline surrogates — fast approximate predictors for single pipeline steps (spec change → code quality, architecture → product fit, app → runtime outcome), with calibrated uncertainty, validated against real telemetry. Data — reconstructing (specification → architecture) pairs from open repositories at scale, plus synthetic project generation from a fixed gear set and DSL grammar to cover rare transitions, gaps and counterexamples. Profile MSc (or equivalent) in computer science, mathematics, or a mathematical natural science. Coursework in compilers, programming-language theory, language design or model-driven engineering is a strong positive signal, half of this project is deciding what a formal architecture description is allowed to say. Evidence that you finish things: a maintained open-source repository, a peer-reviewed publication, or a strong competition result. Fluent technical English. Most importantly: the habit of stating an assumption explicitly and designing an experiment that could falsify it. Required mathematical background Core skills: Probability and statistics. Estimation, Bayesian inference, uncertainty quantification and calibration (proper scoring rules, reliability diagrams, ECE), experiment design and significance testing. A prediction we cannot calibrate is not usable here. Linear algebra and multivariate calculus at the level needed to derive, not just call, a training objective: matrix calculus, gradients, stochastic optimisation, conditioning. Discrete mathematics and graph theory. Typed and attributed graphs and hypergraphs, subgraph matching and isomorphism, graph rewriting, reachability, basic complexity classes. Mathematical logic and formal methods. First-order logic, type systems, SAT/SMT, temporal logic (LTL/CTL) and model checking, pre/post-conditions, invariants, refinement. Sequential decision making. MDP/POMDP, dynamic programming, model-based RL, latent state-space (world) models, Monte-Carlo Tree Search. Strong command of at least one, working knowledge of a second: Formal languages, semantics and language engineering — grammars (context-free, attribute and graph grammars), derivation and reachability, parsing; abstract versus concrete syntax; operational and denotational semantics; metamodelling, model-driven engineering, model-to-model transformation, and projectional (structural) editing of the kind JetBrains MPS implements. We are asking for the education, not the tool: you should know why a projectional editor exists, what a metamodel buys you over a text grammar, and how a language evolves without breaking its existing models. Hands-on MPS experience is explicitly not required — we will teach it. Category theory for compositional systems — monoidal and traced monoidal categories, functors as semantic projections, string diagrams, operads. This is the language of our assembly algebra. Causal inference — structural causal models, do-calculus, counterfactuals, identifiability. Required for the "what happens if we replace this technology / move on-premises" class of questions, which similarity search alone cannot answer. Queueing theory and applied stochastic processes — M/M/1 and networks of queues, heavy tails, retries, timeouts, partial failure and reliability models. This is the resource and stochastic projection. Combinatorial optimisation, constraint programming and program synthesis theory — CEGIS, version-space algebras, symmetry breaking, search heuristics. Representation learning theory — VAEs and latent dynamics, GNN expressiveness (Weisfeiler-Leman hierarchy), permutation equivariance, embedding migration under a changing vocabulary. Required hands-on programming skills This is an engineering-heavy PhD. We expect code that another person can clone, run and reproduce — not notebooks that worked once. Must have: Python (professional level). Type hints, packaging, `pytest`, profiling, `asyncio`, memory-aware data structures. You write unbuffered, logged, restartable long-running jobs by default. Training loops written from scratch, custom datasets and collation, mixed precision, multi-GPU; experiment tracking (W&B or MLflow), configuration management (Hydra), strict seed and artefact reproducibility. Graph machine learning. PyTorch Geometric or DGL — message passing, heterogeneous and typed graphs, graph transformers, handling graphs whose node vocabulary changes between versions. Solvers and verification tooling driven from Python. Z3 or cvc5 hands-on; demonstrated exposure to at least one model checker (TLA+/TLC, SPIN, NuSMV, Alloy) or proof assistant (Lean, Coq, Isabelle). Code as data. AST manipulation, `tree-sitter`, static analysis, dependency and interface graph extraction, large-scale repository mining. Parallel data pipelines. `multiprocessing`, Ray or Dask; checkpointing, heartbeats, cost estimation before launching a run that touches millions of files. LLM engineering. API orchestration, structured and grammar-constrained decoding, evaluation harnesses, token/cost accounting — with the discipline to treat model output as a hypothesis subject to formal checks. Linux, git, code review, shell. Desirable: Language tooling you have actually used: ANTLR, Xtext, Lark, or a parser, type checker or interpreter you wrote yourself. Our internal representation of gear syntax trees and graphs lives in JetBrains MPS — again, we do not ask for MPS experience, only that you are comfortable reading and extending a metamodel; Java/Kotlin literacy helps once you get there. JAX, or compiler / SAT-SMT internals. Infrastructure literacy — Docker, Kubernetes, Terraform, OpenTelemetry/Prometheus — since the resource projection is calibrated against real deployment telemetry. One systems language (Rust, Go or C++) for performance-critical search. Prior experience with production software architecture, or with a brownfield system you had to change without breaking. Funding The appointment provides full financial coverage through a dedicated fellowship, comprising: Monthly stipend of €1,650 Monthly research-cost allowance of €100 (Forschungskostenpauschale) Health-insurance subsidy of €100 per month Location: Bremen, Germany Duration: 3 years, full time Start date: November 2026 Application package must include CV, including publications, code, or research projects. Cover letter (1–2 pages) explaining your motivation, research interests, and fit with the project. A link to code you have written. A one-page research statement picking one open research question from the project and sketching how you would approach it. Master’s and Bachelor’s degree certificate and transcripts. Contact information for 2–3 academic referees. Applications are reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.

SportSpired Games, an international studio focused on developing advanced sports simulators, is seeking a Marketing Director. The ideal candidate should have over five years of leadership experience in gaming marketing, with a proven history of launching PC and/or console games. Expertise in both brand and performance marketing is essential, along with familiarity with Premium and Free-to-Play products. A deep understanding of player acquisition and retention strategies is required, as well as experience in managing marketing budgets and campaigns. Strong communication skills and the ability to manage stakeholders effectively are important. Professional proficiency in English is also necessary.

Задачи: – Владеть продуктовой стратегией end-to-end по двум направлениям: существующий портфель и новый privacy & security продукт – В первые 6 недель валидировать willingness-to-pay и pricing на текущих продуктах, собрать UX для MVP нового продукта, вывести его в soft launch на CA/AU, дальше US/UK – Приоритизировать роадмап на основе funnels, cohorts, churn curves, LTV/CAC — не по интуиции, а по данным – Дизайнить и интерпретировать эксперименты вокруг onboarding, pricing, paywalls, retention – Работать плотно с инженерами над scope-решениями и с growth-командой над механикой привлечения и монетизации – Связывать продуктовые решения с conversion, retention, ARPU, LTV на разных горизонтах – Добиваться, чтобы инженеры, дизайн, growth, маркетинг и support двигались в одну сторону Требования: – 5+ лет в product management с доказательствами самостоятельного владения consumer-продуктом от стратегии до запуска и измеримых результатов – Опыт с consumer mobile subscription-продуктом, где лично влиял на activation, conversion, retention, churn или LTV – Сильная количественная беглость: funnels, cohorts, churn curves, LTV/CAC модели — умение самостоятельно сделать приоритизационный call – Hands-on experimentation mindset — A/B-тесты вокруг onboarding, pricing, paywalls, retention – Сильные consumer UX-инстинкты и комфорт в scope-обсуждениях с инженерами – Опыт построения или эволюции MVP в реальных time/resource ограничениях – Коммерческий mindset — продуктовые решения на языке conversion, retention, ARPU, LTV – Ownership, low-ego, high-accountability, сильная кросс-функциональная коммуникация – Английский от B2 Будет плюсом: – Опыт в consumer privacy, cybersecurity, VPN, password management или смежных subscription-категориях – Опыт с App Store / Google Play запусками и механикой subscription pricing (plans, trials, paywalls, packaging) – Опыт партнёрства с performance marketing / growth командами, переходящими к product-led / owned growth – Опыт с AI-powered consumer-продуктами — умением отличать реально полезные AI-возможности от positioning features

Location: Poland; Georgia Workplace: Remote 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 an Application Security Engineer to join a greenfield digital news platform build for a major international news brand. Security is not a pre-launch checklist here — it is an engineering requirement embedded across every phase of delivery, from architecture through launch and into multi-year support. You'll be the security authority on a full-lifecycle engagement, validating controls across a composable CMS, video pipeline, advertising integrations, personalisation services, and public-facing APIs — on a platform designed to sustain extreme traffic during breaking-news events. WHAT YOU'LL DO - Define and validate application and platform security controls across all delivery phases. - Perform architecture and threat-model reviews at design stage and as the platform evolves. - Review authentication, authorization, and privileged-access controls across CMS, APIs, and integrated services. - Validate API and integration security across a composable, multi-vendor platform architecture. - Review secrets, credentials, and token-management practices across the full stack. - Support vulnerability scanning and penetration-testing activities — coordinating findings and remediation. - Validate encryption and secure data handling across storage, transit, and third-party integrations. - Review security logging, monitoring, and incident-response requirements. - Support GDPR and privacy engineering requirements throughout delivery. - Conduct third-party security assessments for integrated services and vendors. - Provide remediation guidance and produce security acceptance evidence ahead of launch. BASIC QUALIFICATIONS - 5+ years of experience in application security, security engineering, or a closely related role. - Experience performing threat modelling and architecture security reviews on complex, multi-component platforms. - Strong knowledge of authentication and authorization patterns — OAuth, OIDC, RBAC, privileged access management. - Hands-on experience validating API security and reviewing integration patterns across third-party services. - Solid understanding of secrets management, credential handling, and token lifecycle best practices. - Experience supporting or coordinating vulnerability scanning and penetration testing programmes. - Knowledge of encryption standards and secure data handling practices across storage and transit. - Familiarity with GDPR and privacy-by-design engineering requirements. - Ability to produce clear remediation guidance and security acceptance documentation for engineering and delivery teams. PREFERRED QUALIFICATIONS - Experience securing composable CMS or media platform architectures — AEM, Amplience, or similar. - Background working on high-traffic, public-facing platforms where availability and security intersect. - Experience with security logging and monitoring tooling — SIEM, alerting, incident response playbooks. - Familiarity with third-party vendor security assessment processes. - Relevant certification — CISSP, OSCP, CEH, or equivalent. - Experience working within a phased, full-lifecycle delivery programme alongside engineering and architecture teams. 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: Poland; India; Georgia Workplace: Remote 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 Video & Streaming Engineer to join a greenfield digital news platform build for a major international news brand. Video is not a feature here — it is the product. The platform is built around an always-on livestream, automated broadcast clip ingestion, and a player architecture that needs to perform reliably under the extreme traffic conditions of breaking-news events. You'll own the video and streaming layer end-to-end: platform integration, adaptive playback, livestream workflows, newsroom clipping tools, advertising, analytics, and resilience testing ahead of launch. WHAT YOU'LL DO - Own video, livestream, and player technical implementation across the platform. - Integrate the selected video platform and player with the broader content and delivery architecture. - Implement adaptive bitrate streaming and device-aware playback across web and mobile environments. - Support livestream and breaking-news streaming workflows — including failover and resilience requirements. - Implement clipping and newsroom video-processing capabilities for broadcast clip ingestion and editorial use. - Integrate captions, subtitles, thumbnails, and poster frames. - Support rights management, availability-window controls, and geoblocking requirements. - Integrate video advertising and analytics capabilities. - Implement playback telemetry, error handling, and fallback logic. - Support load testing, resilience validation, and major-event readiness testing ahead of launch. BASIC QUALIFICATIONS - Hands-on experience integrating and configuring enterprise video platforms — Brightcove, JW Player, Mux, THEOplayer, or similar. - Strong understanding of adaptive bitrate streaming — HLS, DASH — and device-aware playback implementation. - Experience implementing livestream workflows in a production environment. - Familiarity with video processing concepts — clipping, transcoding, thumbnail generation, caption and subtitle integration. - Experience integrating video advertising — VAST, VPAID, or similar — and video analytics. - Ability to implement playback telemetry, error detection, and fallback handling. - Experience supporting performance and resilience testing for high-traffic video delivery scenarios. - Strong collaboration skills — able to work across CMS, frontend, and infrastructure teams. PREFERRED QUALIFICATIONS - Experience delivering video infrastructure for news, media, or broadcast organizations. - Familiarity with rights management, availability windows, and geoblocking implementation. - Experience with CDN configuration for video delivery at scale. - Background working on platforms designed for major-event traffic spikes. - Familiarity with DRM implementation — Widevine, FairPlay, PlayReady. - Experience with poster frame, chapter marker, and structured metadata workflows for editorial video. 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: Hamburg Workplace: Hybrid adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Keeping Platform Stability Front and Center for 770M+ Users On the frontier of adjoe's most critical publisher relationships, the Product Operations team moves fast, cuts through complexity, and keeps our entire platform running. Operating across the full adjoe stack—backend services, SDKs, catalog, and integrations—we unblock strategic launches, build custom integrations, and resolve critical issues in production. We act as the safety net for our product teams and the first line of defense for enterprise publishers like Venmo and PayPal. Beyond immediate troubleshooting, we build and scale high-impact diagnostic tooling to automate root-cause resolution across client-side and microservice architectures. Combining cross-stack technical depth with rapid execution, Product Operations ensures seamless performance wherever enterprise growth meets global scale. Your Mission & Who We Are Looking For: - 5+ years in Go, built for scale. You have 3+ years building production Go services and know how to profile and optimize applications under real traffic, not just identify bottlenecks, but eliminate them. You've worked on large Go applications with considerable daily request volume. - Distributed systems are your default context. You design and operate microservice architectures using Kafka and SQS/SNS for reliable asynchronous communication, and are responsible for collecting and aggregating billions of daily API events into Kafka streams queryable from the data lake in seconds. - Data performance matters at every layer. You work with Druid, MySQL, Redis, and DynamoDB, optimizing queries and data access patterns to deliver few-millisecond response times. You know the tradeoffs between different storage solutions and when each one is the right tool. - Bridge product and Data Science. You collaborate directly with Data Scientists to integrate ML algorithms that optimize ad delivery: translating complex mathematical solutions into production-ready backend services. - Partner-facing data ownership. You support partners through well-documented open APIs, providing raw or aggregated data transparently based on their business needs. - Infrastructure fluency is part of the job. You have hands-on experience with Terraform, Docker, and serverless infrastructure, owning services end-to-end from development to production. 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: EMEA Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. What You’ll Be Doing Growth & Revenue Leadership Contribute to revenue targets, affiliate partnerships and VIP services. Build and scale a high-performing global affiliate programme that consistently produces strong ROI. Drive business strategies, partnerships, and campaigns to win market share and outgrow competitors. Drive digital asset initiatives, exploring new products and services to expand the company's offerings and enhance the overall customer experience. Execution & Performance Translate strategy into an executable plan with measurable KPIs and deliverables. Continuously optimize affiliate campaigns, user conversion funnels, and VIP retention programs to maximize revenue impact. Competitive Positioning Monitor industry trends and competitors move to identify opportunities and threats. Develop product ideas and ensure timely launches in collaboration with global teams. Partnership & Ecosystem Development Partner with legal, compliance, and risk to ensure governance and operational integrity, consider potential licensing strategies, and facilitate regulatory liaisons. Represent the company at industry events and conferences, build relationships and partnerships with key stakeholders and clients; and Build strong relationships with affiliates, VIPs, and ecosystem partners to deepen OKX’s position as top 5 exchanges. Spearhead campaigns to strengthen brand presence and loyalty. Leadership & Team Development Recruit, develop, and lead a high-impact commercial team focused on affiliate management, BD growth, and VIP servicing. Build a performance-driven culture that consistently exceeds targets. Core Experience (Must-Have): 10+ years of leadership experience at a top-tier crypto exchange, fintech, or trading platform Fluent in local languages and English. Mandarin is an advantage. Strong influencing and negotiation skills with external stakeholders Strong working knowledge of matters related to license application, ongoing reporting, and compliance requirements in Africa, including but not limited to, with the FSCA and SARB, etc.) in this regard. Experienced in working in a licensed institution, including ensuring compliance and developing licensing strategies for product-market fit. Eligible and qualified with RE1, RE4 and/or RE5 certifications. Strong influencing and negotiation skills with external stakeholders Hands-on experience working with regulators and leading licensing applications and/or acquisitions Proven ability to operate in heavily regulated and competitive environments while driving growth. Demonstrated ability to deliver multi-million dollar monthly revenue growth through BD and affiliate acquisition strategies. Experience owning P&L, setting market KPIs, and exceeding aggressive growth targets. Willingness to travel as needed. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Europe (+/- 3 hours) Workplace: Remote 👋 A LITTLE ABOUT US We’re building the best platform for authoring, publishing, and maintaining world-class docs. Close to 40,000 sign-ups per month, over 100k Monthly Active Users, used by 2M+ people and thousands of teams like Zoom, FedEx, Nvidia, Snyk, and Google. We’re profitable, backed by P9 Capital, Notion Capital, and Fly VC, and our amazing team is spread across 15 countries in North America, Europe, and Asia. Our enterprise motion is growing, and the way we reach those buyers is changing. Docs are bought by engineering leaders, platform teams, and developer experience owners, people who don't answer cold emails but do show up at conferences, dinners, hackathons, and community meetups. Field marketing is how we get in front of them. Today our event activity is opportunistic: a booth here, a sponsored dinner there, a webinar when someone has time. There's no tiering model, no consistent follow-up motion, and no reliable way to say which events created the (right) pipeline. This role owns all of it. This is a new function at GitBook. You'd be the first person to own it. WHAT YOU'LL DO - Own the global event calendar: Decide which industry tradeshows and conferences we show up at, at what level, and why and then run them end to end: sponsorship negotiation, booth, staffing, messaging, budget, and on-site execution. - Build activation around the big moments: The booth is rarely where the deals happen. You'll design the side-events that surround a conference such as curated dinners, executive roundtables, breakfast briefings, happy hours, and build the guest lists around accounts we actually want in the room. - Create GitBook's own events: Design and run owned formats that people want to attend because of what they are, not because we sponsored them. Roadshows, customer summits, docs-focused meetups, launch moments. You'll define the format, the content arc, and the experience. - Experiment with community activation: Work with our DevRel colleagues on hackathons, docs sprints, and community events. Some will work and some won't; you'll run them as experiments with a clear read on what happened. - Own online events: Webinars, virtual roundtables, and livestreams, you’ll be either running them yourself or coordinating the team members who do. - Build the tiering model: Define what a Tier 1, 2, and 3 event looks like at GitBook: spend bands, staffing, pre- and post-event motion, and the bar an event has to clear to earn each tier. - Report on pipeline, not attendance: Build the measurement model for events: cost per opportunity, event-sourced and event-influenced pipeline, target-account attendance, and conversion through to closed won. - Make the sales follow-up motion work: Build a lightweight SLA for pre-event target lists with AEs, brief the team on what to do at the event, and build the follow-up structure that turns a badge scan into a conversation. - Act as ABM sparring partner: Our enterprise motion runs on account-based plays. You'll be the person Sales and Marketing think out loud with on account selection, buying-committee mapping, and how field programs plug into 1:1 and 1:few plays HOW WE'LL MEASURE SUCCESS In your first 90 days: a tiered event calendar for the next four quarters, a working measurement model in our CRM, and a follow-up motion Sales has actually agreed to. After that: event-sourced and event-influenced pipeline, cost per opportunity by tier, target-account penetration at Tier 1 events, and speed of follow-up. WHAT WE'RE LOOKING FOR - 7–10 years in B2B SaaS marketing: you need to have a meaningful stretch of that in field marketing, event marketing, or integrated demand generation. You've run international programs, including and especially in the USA. - A ROI mindset: You talk in opportunities and cost per opportunity, not impressions and badge scans. You've defended an event budget with numbers and you've killed events that didn't earn their place. - Real operational range: You can negotiate a sponsorship contract, argue about booth carpet, write a good invite email, and build a Hubspot dashboard or report (or know who to ask to build it for you). - Sales credibility: AEs will trust you or route around you. You can walk into a pipeline review, take a hard question about last quarter's spend, and answer it without getting defensive. - Taste: Most B2B events are forgettable. We'd rather run fewer things that people remember. You should have opinions about what makes an event worth attending. - Comfort with a technical audience: Our buyers are engineers and the people who lead them. You don't need to write code, but you need to know why developer-audience marketing fails when it's too polished. - Ownership mindset: There's no playbook here. You'll write it: defining process, flagging problems early, and not waiting to be told what to build next. Also, you might be coming from a field marketing role at a SaaS company that got heavier on events, an event marketing role where you started owning the pipeline number, a demand gen role with a large in-person component, or a community or DevRel role that grew a commercial edge. We care less about the label than about what you can actually do. Some travel is expected, roughly a week or two a quarter, with a potential for a week a month in the conference season peak. WHAT THIS ROLE IS NOT This isn't a role where you'll manage a team from day one, and it isn't purely strategic. You'll be on the floor at the show and in the spreadsheet the week after. It's also not brand marketing or product marketing. You'll draw on both, and you'll partner closely with them, but you're accountable for the pipeline. If you do this well, the function grows in scope, budget, and eventually headcount. But we're hiring for someone who wants to build it from scratch, not for the version of this role that exists in two years. 👥 Join GitBook at a pivotal time as we evolve our product and team. This is a chance to shape our product, craft, and culture https://www.gitbook.com/about#open-roles.

Location: Paris, France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. 🤖 WHO WE ARE Alan Clinic. A health companion and a digital clinic for everyone. We're a small team within Alan, on a mission to redefine the future of care by democratizing access to medical expertise. The Clinic is two crews building one experience: - Mo. An intelligent, empathetic, multimodal LLM-based conversational AI assistant able to prescribe, triage, and proactively follow up on care. We kicked off in 2023 and launched Mo to all our French members (1M) in Q1 2026, making it the first safe AI health companion live at scale in Europe. - Clinic Platform. The medical services behind the conversation: chat with health practitioners, teleconsultation, and care programs across primary care, mental health, and physiotherapy. Imagine giving every person in the world instant, 24/7 access to personalised medical expertise (through chat, voice, or video) with AI agents working in tandem with real doctors and the health system. That's what we are building 🤖🏥. 🚀 WHAT YOU'LL BUILD AND WHO YOU'LL WORK WITH We're building a medical experience that works reliably, safely, and at scale. An AI agent, and the clinic behind it. You'll lead the engineering team and you'll keep building alongside them. The crews work at the intersection of product engineering, ML engineering, and medical expertise. As their engineering leader, you own: - 💬 The team behind the most memorable chatting experience. Hiring, onboarding, honest feedback, and the mix of skills Mo needs as it grows. Talent density is yours to own. - ➕ The architecture for Mo's next chapters. More context, new skills, new countries. You guide the calls on our architecture and agentic framework, and you stay close enough to the code to make them well. - 🏥 The platform that turns conversations into care. Chat with health practitioners, teleconsultation at national scale, and the tooling doctors and therapists use every day. You drive alignment with the crews and medical teams on the other side, so members get from words to actions. - 🛡️ Operational excellence. Mo and teleconsultation are real-time services that have to be live 24/7. Latency, error rates, incident response, and an on-call rotation that doesn't burn people out. If you're excited by the idea of building the future of healthcare, this is the team for you. We're at the start of the journey. If you're curious, here https://arxiv.org/abs/2411.12808 is a paper we published recently. ⚡ WHY THIS ROLE IS SPECIAL - Dual impact: Shape both technical excellence and team growth - your engineers become better while building better products - Leadership growth: Influence engineering culture, mentor future leaders, and drive technical strategy that shapes the future of healthcare delivery - Startup speed, Alan's platform. Mo operates with the focus of a startup, on top of Alan's infrastructure, distribution, and health expertise. Small team, huge reach. - Stakes that make the work matter. In medical AI, reliability and safety are the product. Every call you make on quality, architecture, and evaluation is a call about our members' health. 🔍 WHAT WE'RE LOOKING FOR We're looking for an engineering leader who gets excited about building state-of-the-art AI systems and applying them to real-world, high-stakes problems in healthcare. LEADERSHIP EXPERIENCE - 3+ years leading engineering teams, with a track record of building high performers. - You partner with other product functions as a true equal: you shape the roadmap, name trade-offs honestly, and help the team commit to what it can actually deliver. TECHNICAL FOUNDATIONS - Experience establishing engineering excellence standards, with the ability to guide architectural decisions. - First-hand experience shipping AI or LLM products to production is a big plus. - You're excited and eager to keep writing code. You still review it, and you still ship some yourself. - Comfortable with modern development practices and AI-assisted development tools. WHAT WE VALUE - Curious, self-starting, humble, collaborative, and eager to grow. - You develop people as much as you develop products. - Ex-founders are typically a great fit in our team. MISSION ALIGNMENT - Healthcare technology and innovation excite you - You understand that great engineering teams are built on psychological safety and continuous learning But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! 🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.

Location: Istanbul Workplace: Remote ABOUT VOODOO Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way. TEAM Our Gaming team is made up of hybrid-casual, casual and mid-core experts. Our 'Core' games team supports internal and external studios worldwide in creating, developing and launching new hit games, whilst our 'Live' games team focuses on delivering higher engagement on our existing and successful games. You will join a new Live Studio focused on Helix Jump, one of Voodoo’s most iconic hypercasual hits. Our ambition is to give Helix Jump a second life: preserve what made it successful, improve the quality and game feel, and evolve it into a stronger hybrid-casual / casual live game. You will be part of a small, lean, and ambitious team with high ownership and fast iteration. ROLE As a Product Manager, you will be at the heart of the game's evolution. You will work closely with a multidisciplinary team of engineers, artists, and product experts to design, test, and refine features that keep our players engaged and entertained. - Participate in the design and creation of engaging, challenging, and fun levels that maintain player interest and progression - Develop and iterate on game mechanics and features that enhance the core gameplay loop - Analyze player behavior, game metrics, and feedback to identify opportunities for improvement - Collaborate with engineers and artists to bring level designs and features to life - Structure, run, and monitor A/B tests to validate design decisions and optimize player experience - Balance game difficulty curves to ensure appropriate challenge and retention across all levels - Stay up-to-date with the hybrid-casual and puzzle game market, analyzing competitor games and emerging trends - Test and playtest levels and features to ensure quality and enjoyment - Contribute to the product roadmap and strategic direction - Work iteratively, rapidly prototyping ideas and incorporating feedback from the team and data PROFILE - 2+ years of professional experience in game design, product specialist, or similar role in the mobile gaming industry - Strong passion for mobile puzzle and hybrid-casual games, with a deep understanding of what makes them engaging and successful - Analytical mindset with the ability to interpret data, identify trends, and make data-driven design decisions - Understanding of player psychology and what drives engagement, retention, and satisfaction - Strong communication skills and ability to clearly articulate design ideas to cross-functional teams - Iterative mindset with the ability to rapidly test, learn, and improve designs based on feedback - Bonus: Experience with Unity or game development tools, knowledge of A/B testing methodologies, experience shipping successful mobile games BENEFITS - Best-in-class compensation - Other benefits according to the country you reside

About the Role: We are seeking a highly motivated and licensed Property & Casualty (P&C) Insurance Broker to join our team as part of a critical pilot to launch a P&C broker model at Gusto. You will be essential in evolving Gusto's business insurance channel by acting as a licensed agent to quote and issue business insurance policies with our NEXT Insurance carrier partner. You will use your expertise to provide direct support and an improved experience for small business customers with complex insurance needs, helping to capture meaningfully higher revenue and accelerating the development of our AI Insurance Advisor. About the Team: This team is crucial to solving customer experience gaps and optimizing our offline insurance channels. You will be a SME who is part of the "human-in-the-loop" workflows required to train and optimize Gus as an AI insurance advisor. Our collective vision is to be an expert advisor that supports small businesses through every stage of growth, with this pilot being key to establishing our digital insurance agency and licensed agent integration. Here’s what you’ll do day-to-day: — Make outbound dials to prospective and existing small business clients to assess their complex P&C insurance needs and recommend suitable coverage options. — Quote and issue Property & Casualty policies, primarily with the NEXT Insurance carrier, in our offline sales channel. — Achieve required daily, weekly, and monthly sales activity expectations. — Provide human-in-the-loop support to optimize the AI Insurance Advisor, Gus, and assist customers with more complex needs. — Maintain client relationships, manage policy renewals, and facilitate changes or endorsements to existing policies. — Act as a trusted liaison between clients and carriers, including assisting clients with reports of losses and claims settlement when necessary. — Actively work to cross-sell and up-sell additional P&C lines of coverage and strive to achieve monthly production goals for units and/or revenue. — Maintain accurate and up-to-date client records and policy documentation within CRM systems (SFDC workflow). — Use AI-powered workflows as a core part of how you sell: running assigned tools daily, surfacing friction and inefficiencies as you find them, and collaborating with your team to influence what gets built or improved next. — Stay current on industry trends, products, regulations, and underwriting guidelines to provide accurate advice and ensure compliance. Here’s what we're looking for: Experience in the field: — Proven experience in insurance sales or brokerage, with coverage level knowledge of commercial P&C products (e.g., Workers' Compensation, BOP, Commercial Auto, E&O). — 4+ years Licensing: — An active Property & Casualty insurance producer’s license Communication & Interpersonal Skills: — Excellent verbal and written communication, active listening, and strong interpersonal skills to build rapport and explain complex concepts clearly. Sales & Negotiation: — Strong sales and negotiation abilities with a proven ability to meet sales targets. Technical Proficiency: — Working knowledge of carrier quoting systems, proficiency in insurance software, and familiarity with CRM systems like Salesforce (SFDC). — Comfortable using AI tools and automation to enhance productivity, decision-making, and problem-solving. Mindset: — A demonstrated passion for delivering an incredible customer experience and genuine empathy for small business owners. Attributes: — Highly self-motivated, goal-oriented, and an entrepreneurial ownership mentality to thrive in a fast-paced, high-energy environment. AI Fluency: — Proven, day-to-day experience integrating AI into how you work - across writing, research, prep, and summarization as a core part of your workflow, with a track record of giving clear, useful feedback that helps improve your tools and processes. Compensation: — Cash compensation amount for this role is $109,390 to $134,000 OTE for Denver, Atlanta, Chicago & Las Vegas. — $102,855 to $126,000 OTE for Phoenix. — Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above. Work Format: — Gusto has physical office spaces in Denver, San Francisco, and New York City. — Employees based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). — The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. — When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. Equal Opportunity: — Gusto is an equal opportunity employer and does not discriminate based on legally protected characteristics. — Committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in the job application process. Security & Privacy: — Gusto takes security and protection of personal information seriously.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The AI Security team within Reddit’s Security Platform Engineering organization builds security into Reddit’s products, engineering systems, AI platforms, and operational infrastructure so the secure path is the easiest path for both people and agents. A core part of this work is developing practical, high-quality machine learning systems that detect and prevent risks such as prompt injection, jailbreaks, sensitive data exposure, and unsafe or unauthorized AI behavior. Building on Reddit’s centralized LLM Guardrails Platform, which provides a shared security and safety boundary across major products, we are expanding ML-powered protections as Reddit’s AI systems and threat landscape evolve. We are looking for a founding Staff Machine Learning Engineer to lead the development, training, and optimization of models for AI security at Reddit. This is a strategic and hands-on individual contributor role, combining deep ownership of model architecture, training data, and experimentation with technical leadership across teams. You will help Reddit deliver stronger AI protections while preserving a high-quality product experience. How You’ll Have Impact Select, adapt, fine-tune, evaluate, and deploy pretrained models and lightweight classifiers for Reddit-specific security problems. Build reproducible training and evaluation pipelines on Reddit’s ML platform, partnering with platform engineers to improve inference performance, resource efficiency, and operational reliability. Set the technical vision and multi-quarter modeling roadmap, partnering with cross-functional teams to gather requirements, define model architectures, and iterate on model development. Conduct model evaluations and performance analysis to improve accuracy and adversarial robustness, and define launch criteria that balance false positives, latency, throughput, reliability, and cost. Own training-data quality and the production model lifecycle, using monitoring, incident findings, and red-team feedback to guide dataset improvements, retraining, and safe rollout or rollback. Establish best practices for responsible ML development and deployment, including reproducible experiments, testing, model and data lineage, and privacy-aware data use. Stay current with research in NLP, large language models, and relevant multimodal techniques, translating promising advances into measurable model improvements. Mentor engineers and lead technical discussions and reviews, shaping the team’s long-term ML capabilities and AI security direction. Who You Might Be 8+ years of experience developing machine learning models, with substantial hands-on model training experience, demonstrated production impact, and a record of leading complex initiatives across teams. Strong background in Python programming, software engineering, and deep learning frameworks and libraries such as TensorFlow, PyTorch, or Hugging Face Transformers. Deep understanding of neural network architectures and optimization, with proficiency in data preprocessing, tokenization, embeddings, language modeling, and model calibration. Expertise in scalable data pipelines and distributed training frameworks such as Ray Train or PyTorch Distributed, with a strong understanding of hardware and system tradeoffs. Demonstrated rigor in experimental design and model evaluation, including representative holdouts, ablation studies, adversarial tests, and error analysis to diagnose training issues, bias, and generalization gaps. Excellent written and verbal communication, with the ability to explain model behavior, security risk, uncertainty, and tradeoffs to technical and non-technical partners. Preferred Qualifications Experience applying ML to security, trust and safety, fraud, privacy, or related adversarial domains. Experience with adversarial training, model distillation, active learning, or synthetic-data generation to improve model quality, robustness, and training efficiency. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-Remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000 — $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.