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Location: Canada Role overview: We are seeking an experienced Electrical Power System Engineer to support the concept, detailed design, analysis, verification and integration of electrical power subsystems (solar arrays, power-conditioning units, batteries, distribution & regulation) for our current and next-generation remote sensing and communications satellites. The role works closely with payload, bus, thermal, structural and mission-systems multidisciplinary teams responsible for delivering high-performance, reliable EPS solutions to commercial, government, and defense customers. Tasks summary: Architecture Concept & Requirements • Define EPS architecture (generation, storage, distribution) that satisfies mission power budget, mass, volume and reliability constraints. • Perform trade-studies (e.g., solar cell type, battery chemistry, regulator topology). • Generate system requirements, functional flow block diagrams. • Develop the Interface Control Documents (ICD) and Design Description. • Perform requirement management and maintain bidirectional traceability throughout the program life cycle. Detailed Design & Analysis • Size solar arrays, power-conditioning units, battery packs, and power distribution units. • Build and validate high-fidelity electrical models for satellite modes, FMECA, Fault detection… • Conduct & maintain power budget models, load-flow, thermal-power coupling, and survivability analyses (e.g., eclipse, safe-mode, fault-tolerant). Cross‑Functional Coordination, Stakeholder & Program Interaction • Present technical status, risk analyses, and trade‑study results to senior management. • Interface with spacecraft bus teams (power, thermal, structure, avionics). • Develop/maintain high-fidelity power models for mission analysis (e.g., orbit raising, station-keeping, de-orbit). • Develop tools for power efficiency & optimisation for the satellite. • Support B&P (Phase 0 & pre-phase A). Integration & Verification (IVV) • Author verification plans, test matrices, and validation procedures for unit & EPS subsystem tests. • Support ground-test & integration campaigns, fueling, thermal vacuum, EMI/EMC, and spacecraft-level integration. • Analyse test data, close out anomalies, and update design baselines. • Support FSW integration Technical Leadership & Mentorship • Mentor, guide, lead a multidisciplinary team of junior or intermediate system engineers & interns • Act as technical liaison with customers, partners and external vendors • Act as Continuous Improvement stakeholder • Contribute to Client's knowledge‑base, process enhancements, and standards development. Configuration, Documentation & Standards Management • Maintain design and safety standards. • Ensure all artefacts, analysis, software, documentations and deliverables are version controlled in PLM environment. • Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation Launch‑Site, On‑Orbit & Operations Support • Support launch‑site interface checklists with LVI responsible engineer, pre‑launch checkout procedures, and early‑orbit checkout scripts. • Provide real‑time engineering support during launch, on‑orbit commissioning, anomaly investigations and contingency operations. • Support SOOH development and associated operator trainings. Required Qualifications: • B.Sc. in Electrical Engineering, Aerospace or Physics with 8 + years of EPS system design experience on LEO/MEO platforms. • Deep knowledge of spacecraft bus subsystems and their interactions. • Experience with power‑electronics design and power management hardware. • Strong understanding of aerospace system engineering fundamentals • Hands-on individual who can support systems integration processes and capability to test systems and resolve problems. • Experience with Confluence and JIRA • Demonstrated capability to efficiently work with little supervision • Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity. • Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English).

Location: Canada Role overview: We are seeking a GNC System Engineer for design, integration, verification, and operational support of GNC subsystems for our current and next-generation remote sensing and communications satellites. The role will require to design the complete subsystem, from algorithm development through hardware implementation, verification, and on‑orbit operation support. The role requires deep expertise in orbital dynamics, attitude‑determination & control, plus real‑time FSW definition and integration, and will work closely with subsystem and mission operations teams throughout the satellite life-cycle. Tasks summary: Architecture Concept & Requirements • Derive GNC functional, performance, and safety requirements (pointing accuracy, slew rate, orbit‑maintenance ΔV, fault‑tolerance) from mission level requirements. • Produce System Requirements, Interface Control document (ICD), and Description Document. • Perform requirement management and maintain bidirectional traceability throughout the project lifecycle. Modelling & Trade‑Study • Conduct trade studies on sensor suites and actuator families. • Perform high‑fidelity dynamics simulations (Matlab/Simulink, STK) to meet pointing requirements, maintain error budgets, control‑law stability, fuel consumption, and survivability margins. Algorithm Development • Design and implement attitude‑determination algorithms and orbit‑determination solutions. • Develop control laws for 3‑axis stabilization, slew maneuvers, station keeping algorithms • Validate algorithms with Monte‑Carlo analysis, worst‑case scenarios, and support SIL/HIL testing on avionic test bench. Cross‑Functional Coordination, Stakeholder & Program Interaction • Translate algorithms into FSW requirements running on real‑time operating systems. • Collaborate with the C&DH and FSW teams to implement TM/TC, schedulers and FDIR logic for GNC. • Present technical status, risk analyses, and trade‑study results to senior management. • Negotiate and maintain ICDs with subsystems. • Support B&P (Phase 0 & pre-phase A). Hardware Selection & Design • Specify sensor and actuator hardware, perform interface definition (electrical, mechanical, thermal) and conduct trade on redundancy architectures. • Work with structures and thermal engineers to ensure proper mounting, thermal paths, and vibration survivability of GNC hardware aligning with payload requirements. • Review harness routing and power distribution for GNC electronics. Integration & Verification (IVV) • Author Verification Plans, Test Matrices, and Validation Procedures for unit, subsystem, and spacecraft level GNC tests. • Lead functional tests: sensor calibration, actuator command‑response, closed‑loop attitude‑control on testbeds, and on‑orbit checkout sequences. • Conduct failure mode and effects analysis (FMEA), fault tree analysis (FTA), and reliability prediction. Technical Leadership & Mentorship • Mentor, guide junior engineers and interns. • Act as technical liaison with customers, partners and external vendors • Act as Continuous Improvement stakeholder • Contribute to Client’s knowledge‑base, process enhancements, and standards. Configuration, Documentation & Standards Management • Maintain GNC standards (sensor/actuator interface, filter design, control‑law documentation). • Ensure all artefacts, analysis, software, deliverables and documentations are version controlled in PLM environment. • Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation On‑Orbit & Operations Support • Support procedure developments (detumble, orbit‑maintenance, safe‑mode…etc.). • Provide real‑time GNC support during launch, early‑orbit checkout, and contingency events. • Analyse on‑orbit telemetry, update filter parameters, and generate performance reports. • Support SOOH development and associated operator training. Required Qualifications: • B.Sc. in Electrical Engineering, Aerospace or Physics, (M.Sc. preferred), focused on flight dynamics, control theory, or navigation with 10+ of GNC/AOCS experience on LEO/MEO/GEO platforms. • Orbital mechanics, attitude dynamics, and control-law design (classical and modern optimal control). • Proficiency with navigation sensors and actuators. • Experience implementing real-time filtering and control algorithms in embedded code • Strong understanding of aerospace system engineering fundamentals. • Hands-on individual who can support systems integration processes and capability to test systems and resolve problems. • Experience with Confluence and JIRA. • Demonstrated capability to efficiently work with little supervision. • Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity. • Demonstrate excellent written and verbal communications skills in English & French work environment.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We are looking for a Data Platform Engineer to join our Data Engineering team and help build the foundational systems that power Figma’s next generation of AI-driven products and data experiences. This is a unique opportunity to be an early engineer shaping Figma’s ML and data platform, enabling everything from self-serve analytics to production-grade AI systems. You’ll work at the intersection of data, infrastructure, and machine learning, building scalable systems that empower Data Science, unlock AI capabilities across the company, and bring data and models closer to the product experience. This is a full-time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Build and evolve the shared data platform that powers analytics, Data Science, and data-driven product development at Figma Make data development faster and easier by improving local development, testing, CI/CD, staging, and deployment workflows Create self-service tools and clear paths for teams to build, deploy, and operate reliable data pipelines Improve the reliability of critical data systems through better monitoring, data quality, incident response, upgrades, and performance management Make trusted data easier to find and use by establishing clear definitions, ownership, lineage, and reliability expectations Partner across Data Engineering, Data Infrastructure, Data Science, Research, Modeling Platform, Security, and Product Engineering to define ownership boundaries and supported patterns for batch, micro-batch, reverse ETL, and product-facing delivery We’d love to hear from you if you have: 5+ years of experience building and operating production data platforms, developer infrastructure, or distributed systems Strong software engineering skills (Python or similar), with experience designing reliable and scalable systems Experience improving developer workflows such as local development, testing, CI/CD, orchestration, or deployment Experience with modern data infrastructure, such as cloud data warehouses, transformation frameworks, workflow orchestrators, infrastructure as code, and observability tools A track record of owning shared systems end to end, leading ambiguous cross-functional projects, and communicating effectively with Data Science, Infrastructure, and Product Engineering partners While it’s not required, it’s an added plus if you also have: Experience supporting ML or research data workflows At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $153,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: United States WHAT YOU'LL DO: Process shipping and receiving at the Santa Ana and/or Costa Mesa locations as needed Prepare finished stock for shipment by identifying, pulling, packing, crating, labeling, loading, and securing product Key person to ensure material movement across sites is accurately transacted for each move Ensure orderly production and distribution of products by pulling orders from inventory, delivering production materials and supplies where needed, and staging finished product for final distribution Complete cycle counts and conduct all warehouse activities with inventory accuracy as a top priority Maintain inventory by identifying, labeling, and keeping materials and supplies in stock, recording location of inventory, and reporting shortages Operate forklifts, pallet jacks, and other machinery to move items, or signal machine operators to move materials onto and off trucks and loading docks Courier inventory as needed between Client's sites in Santa Ana & Costa Mesa Expedite flow of material, parts, and assemblies within or between departments in accordance with production and shipping schedules REQUIRED QUALIFICATIONS: 2+ years as a warehouse associate or equivalent role Must be able to work 1st or 2nd shift and overtime as needed Valid driver's license Ability to be onsite, local to Santa Ana, CA or Costa Mesa, CA PREFERRED QUALIFICATIONS: 1+ years forklift experience and license Experience working in the defense/aerospace industry Familiarity with Enterprise Resource Planning (ERP) systems and/or other warehouse management and inventory control tooling. Familiarity with Microsoft Office or equivalent office management tooling Familiarity with Inventory Management through lot/serial/batch tracking Experience packaging and handling hazardous shipments Excellent customer service skills Able to adapt in fast-paced environments Ability to flex as work shifts can be subject to change depending on the business need Ability to prioritize tasks efficiently and effectively Eligibility to obtain and maintain a U.S. clearance Active secret or top secret clearance within the last 5 years

Location: United States Workplace: Remote ClickHouse is looking for Growth Engineers who are obsessed with both craft UI and agentic experiences. You care about the button, the empty state, and the agent that helps someone get unstuck, and you care equally about whether any of it moved the number. You’ll join our growth pod to build experimentation infrastructure, onboarding flows, and product surfaces across the self-serve funnel: classic human UI and AI-assisted / agent-driven flows. You’ll work side by side with unified console engineers, but your mandate is speed and impact: ship something testable, measure it, and iterate. You’re motivated by moving a number and learning fast, more than by getting every detail right on the first try. This is a new role at ClickHouse. You’ll help define what growth engineering looks like here: PLG experimentation that spans human and agentic experiences. You’ll work closely with product, design, and data science on one pod, and partner with unified console and app teams on shared product surfaces. What you will do: - Build and ship experiments across the self-serve funnel: signup, onboarding, activation, and monetization flows. - Design and polish human UI (flows, forms, empty states, navigation, microcopy surfaces) with a high bar for clarity and conversion. - Design and ship agentic experiences (AI-assisted onboarding, in-product agents, guided workflows) that help users reach value faster. - Run disciplined experiments on both: hypothesis, instrumentation, ship, learn. Tools like GrowthBook are part of the day-to-day. - Partner closely with product, design, and data science to go from idea to shipped experiment quickly. - Work within the Cloud Console codebase alongside unified console engineers, and partner with app teams (including Observability, Agents, and Postgres) on strong end-to-end user flows. - Obsess over metrics: acquisition, activation, and monetization. You want proof that what you shipped moved the needle. Requirements: - Experienced in full-stack product engineering (TypeScript / Node / React), ideally including time on a growth, product, or experimentation-focused team. - Strong proficiency in TypeScript, Node.js, and React, with real taste for product UI. - Experience building with LLMs or agent patterns in a product (tool calling, streaming, evals, system/prompt design), or a clear track record of shipping AI features you measured and iterated on. - Comfortable shipping a smaller, testable version of an idea first, then iterating based on what you learn. - Familiarity with RESTful APIs and JSON. - Experience with experimentation or A/B testing tools (e.g. GrowthBook, Optimizely, LaunchDarkly), or strong interest in building that muscle. - Proficient with Git and collaborative code review. - Excellent communication skills. You’ll work daily with PM, design, data science, marketing, and other engineering teams. Preferred Qualifications: - You’ve shipped both polished UI experiments and agentic / AI-assisted product experiences (not just prototypes), with instrumentation and iteration. - Experience on a growth or product-led-growth team, ideally at a company with a self-serve funnel. - Experience with ClickHouse or other data-intensive/analytics products. - Familiarity with Auth0 or similar auth integrations. - Experience working closely with (but not necessarily reporting into) a separate platform or infrastructure engineering team. - You have opinions on what makes great human UX and great agent UX, and you use AI heavily in your own workflow. 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 team member who joins our company receives stock options. - 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: San Francisco, California Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion’s Data Foundations team builds and operates the batch and streaming infrastructure behind our product features, analytics, search, and AI experiences. We’re looking for a hands-on technical leader to shape the next generation of this platform as Notion serves larger customers, expands globally, and supports more data-intensive products. You’ll identify the highest-leverage problems, set direction, build and develop a high-performing team, and lead multi-quarter initiatives across our data lake, streaming, distributed-compute, governance, and reliability systems. You’ll stay close to critical technical decisions while creating clear ownership, growing engineers and technical leaders, and helping the team execute as one—partnering closely with Data Engineering, Data Product, Search, AI, Infrastructure, and Security. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Set the direction for Data Foundations. Turn ambiguous company and customer needs into a clear multi-quarter strategy across the data lake, streaming, distributed compute, governance, and platform reliability—and align engineers and partner teams around it. - Build and develop a high-performing team. Attract strong engineers, set clear expectations, grow technical leaders, and create an environment of ownership, direct feedback, and accountability. - Lead the team’s hardest initiatives from idea to operation. Ensure complex work has strong technical ownership, de-risk architectures through prototypes, break work into shippable milestones, and coordinate execution across engineers and teams. - Make Notion’s data platform enterprise-ready. Guide the team toward durable foundations for external key management, data residency, access controls, lifecycle management, and governance without creating separate systems for every requirement. - Raise reliability, simplicity, and cost efficiency. Identify systemic risks and architectural gaps, establish clear service ownership, and lead migrations that make Kafka, Debezium, S3/Iceberg, Spark, EMR, Athena, and related systems easier to operate at scale. - Multiply the engineering organization. Establish reusable abstractions and paved paths, delegate meaningful ownership, raise the quality of technical decisions, and scale expertise through coaching, documentation, tooling, design reviews, and direct collaboration. SKILLS YOU'LL NEED TO BRING: - Deep data-platform expertise. You have designed and operated large-scale batch and streaming systems and can reason across storage, compute, ingestion, orchestration, serving, governance, and production operations. - Direction-setting leadership. You have led a Data Platform or infrastructure team through multi-quarter work—finding the right problems, defining a strategy, sequencing execution, and driving decisions with long-term consequences. - Team-building and talent development. You have attracted strong engineers, grown people across career stages, developed technical leaders, and created clarity when expectations or performance needed to change. - Hands-on engineering judgment. You stay close to critical systems and designs and know when to prototype, simplify, buy, build, or migrate. You can go deep while preserving ownership for the engineers leading the work. - Platform-product thinking. You understand the needs behind partner requests and turn repeated patterns into safe, ergonomic, self-serve capabilities rather than accumulating bespoke solutions. - Organizational influence. You create clarity across team boundaries, surface uncomfortable technical or organizational risks early, and help engineers do their best work through strong context, delegation, feedback, and coaching. - You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. People who thrive here don’t treat AI as a novelty. They use it to think better, move faster, and build more creatively. THE SYSTEMS AND PROBLEMS YOU MAY LEAD - Evolving Notion’s data lake toward an S3 + Iceberg lakehouse with stronger governance, discoverability, schema evolution, and lifecycle controls - Scaling Kafka and Debezium-based streaming infrastructure that powers real-time product, analytics, and AI use cases - Improving Spark and distributed-compute performance, workload isolation, developer experience, and cost efficiency - Designing EKM, data residency, and compliant processing capabilities across Notion’s data estate - Creating clear platform interfaces and self-serve primitives for Data Engineering, Search, AI, and product teams WHY THIS ROLE MATTERS Notion’s data infrastructure is no longer only an internal analytics layer. It increasingly powers customer-facing features, AI systems, enterprise controls, and high-volume product workflows. The team needs a leader who can see across these systems, build the technical leadership and operating culture required for that responsibility, and find the problems that matter before they become roadmap blockers. Success means Data Foundations has a strong, growing team with clear direction and dependable execution—and teams across Notion can build ambitious data-powered products faster without compromising customer trust. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $281,000 - $334,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. Make Replit the single place where businesses can buy everything they need through their agents. As a Staff Software Engineer on Replit’s Money team, you’ll set technical direction and build the commerce platform that lets users discover, evaluate, purchase, and manage the products and services they need to build and run their businesses—without leaving Replit.   Replit already enables businesses to accept payments through integrations such as Stripe. This role builds on that foundation to expand what businesses can buy and accomplish through Replit Agent. You’ll design commerce experiences that combine the simplicity consumers expect with the controls enterprises need, making agent-assisted purchasing useful, trustworthy, and reliable.   You’ll own architecture and lead cross-team delivery across merchant and service-provider integrations, agent tools, purchasing workflows, and the lifecycle after a transaction. The challenge goes beyond executing a payment: agents need to understand what a user wants, present clear choices and costs, act within delegated authority, and verify that the purchase delivered the intended outcome. You’ll stay hands-on with design and code while aligning partners, mentoring engineers, and turning an ambitious product vision into incremental customer value. Set the architecture and technical roadmap for agentic commerce, making Replit a single place to discover, buy, and manage the products and services businesses need. YOU WILL: - Lead end-to-end purchasing experiences through Replit Agent: translate user intent into relevant options, communicate prices and terms, obtain appropriate authorization, execute purchases, and confirm fulfillment or provisioning. - Build extensible integrations with merchants, software vendors, and service providers so the platform can expand its commerce offering without rebuilding each workflow from scratch. - Build on existing Stripe and payments capabilities, extending payment integrations where needed to support new purchasing experiences rather than treating basic payment acceptance as a greenfield problem. - Design agent-facing APIs and tools with clear contracts, secure credentials, scoped permissions, spending limits, and appropriate confirmation for consequential actions. - Partner with product and security to support enterprise purchasing requirements such as role-based access, approval workflows, purchasing policies, and auditable transaction histories, while keeping simpler purchases easy. - Own the purchase lifecycle beyond checkout: provisioning and access, order and subscription state, receipts, renewals, cancellations, refunds, and reconciliation across providers. - Make agent-driven transactions reliable with idempotency, verified events, durable state, safe retries, and recovery from partial failures; evaluate whether workflows complete the authorized task without duplicate purchases or unintended spend. - Lead ambiguous initiatives across teams, define incremental milestones, stay hands-on with implementation, and raise the engineering bar through mentoring, design reviews, and production ownership. REQUIRED SKILLS AND EXPERIENCE: - A track record of Staff-level technical leadership on complex customer-facing products or platforms, taking ambiguous initiatives from architecture through launch and production operation across multiple teams. - Strong hands-on engineering and system design skills, including API design, data modeling, distributed workflows, and thoughtful evolution of existing systems. - Experience building extensible third-party integrations and handling asynchronous events, duplicate requests, partial failures, and changing provider capabilities. - Strong product judgment: you can turn complex, multi-step workflows into simple user experiences and balance rapid delivery with correctness and long-term flexibility. - A security-conscious approach to authentication, authorization, credentials, sensitive data, and actions performed on a user’s or organization’s behalf. - Demonstrated ability to align engineering and cross-functional partners on technical direction, document decisions clearly, and drive execution without relying on reporting authority. - Experience mentoring engineers and improving the quality of architecture, implementation, and operations beyond your own projects. - Comfort using AI-assisted development tools while taking responsibility for the correctness, security, and maintainability of the code you ship. PREFERRED QUALIFICATIONS - Experience building commerce platforms, marketplaces, purchasing or procurement systems, or products that connect buyers with multiple vendors. - Experience with agent tool calling, multi-step agent workflows, or evaluations for reliable execution of actions against external systems. - Familiarity with payment and purchase lifecycles, including authorization, checkout, subscriptions, fulfillment or provisioning, refunds, and reconciliation. - Experience building enterprise capabilities such as approval workflows, role-based access, purchasing policies, budget controls, or audit trails. - Experience with Stripe or other payment providers, developer platforms, or partner integration ecosystems.   BONUS POINTS: - Experience with emerging agentic-commerce protocols, MCP, or delegated authorization for agent-initiated transactions. - Experience integrating software and service catalogs, pricing and availability, entitlements, or automated provisioning. - Familiarity with recurring and usage-based costs, renewal management, international purchasing, or multi-provider transaction workflows. - These are additional strengths, not a checklist; prior experience spanning every commerce domain or payment provider is not expected. WHAT WE VALUE: - Customer outcomes: success means a business can get what it needs through its agent, with clear costs and a verified result—not merely a completed API call. - User control and trust: agents act within explicit authority, surface consequential choices, and make purchases and ongoing commitments understandable. - Consumer simplicity and enterprise readiness: straightforward experiences should coexist with the controls organizations need. - End-to-end ownership: we own the experience from intent through purchase, fulfillment, and ongoing management. - Pragmatic technical leadership: we build on what exists, deliver incremental value, and invest in correctness and extensibility where they matter. - Clear collaboration: we document decisions, surface risks early, and help other teams and partners succeed. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: Amsterdam Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Customer Success Manager (CSM) at Mistral, you will be responsible for managing a portfolio of enterprise customers, ensuring they achieve their goals using Mistral’s solutions. You will serve as the primary point of contact for customers, driving adoption, satisfaction, and long-term success.  This role is ideal for those who excel in customer-facing environments, enjoy solving complex challenges, and are passionate about turning customer success into business impact. WHAT YOU WILL DO CUSTOMER SUCCESS OWNERSHIP - Manage a portfolio of enterprise customers, ensuring they maximize the value of Mistral’s AI solutions. - Build strong, trusted relationships with key stakeholders, understanding their business objectives and tailoring solutions to meet their needs. - Lead customer onboarding, adoption, and ongoing engagement to drive product usage and satisfaction. - Monitor customer health metrics, identify risks, and proactively address challenges to prevent churn. - Collaborate with Sales to identify upsell and cross-sell opportunities based on customer needs and usage patterns. - Partner with Product and Engineering teams to gather customer feedback and influence the product roadmap. - Develop and deliver customer training, enablement programs, and best practices to drive adoption. - Conduct regular business reviews (QBRs) to align on goals, challenges, and success metrics. STRATEGIC CUSTOMER GUIDANCE - Serve as a trusted advisor to customers, guiding them on how to leverage Mistral’s AI solutions to achieve their business outcomes. - Work closely with Support and Product teams to ensure seamless customer experiences, from deployment to production. - Create and execute customer success plans with clear KPIs, timelines, and measurable outcomes. - Advocate for customer needs internally, ensuring their voice is heard in product and strategic discussions. CROSS-FUNCTIONAL COLLABORATION - Share customer insights with Product, Sales, and Engineering teams to inform product improvements and strategic initiatives. - Clear obstacles for customers during deployment and adoption phases, accelerating time-to-value. - Support renewal processes, including contract negotiations, expansion discussions, and coordination with internal teams. WHAT WE'RE LOOKING FOR - 5+ years of experience in customer-facing roles, such as Customer Success, Account Management, or Solutions Consulting, ideally in a technical or SaaS environment. - Proven ability to manage enterprise customer relationships, with a focus on driving adoption, satisfaction, and retention. - Experience working with technical products, with the ability to engage confidently with Data, IT, and Engineering teams. - Strong communication and presentation skills, including the ability to tailor messaging for technical and executive audiences. - Business acumen: Ability to identify upsell and expansion opportunities while ensuring customer success. - Technical aptitude: Familiarity with AI/ML concepts is a plus; ability to understand and discuss technical requirements is essential. - Hands-on, customer-centric, collaborative, and organized, with a passion for solving complex challenges. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Keenable создает поисковую инфраструктуру для AI-агентов. Требования: — Опыт с distributed systems — Опыт с production infrastructure — Опыт с Rust Информация о компании: — Ко-фаундер — Андрей Стыскин, ex CEO Яндекс Поиск и ex Director of Web Information Services в Amazon — Размер команды — 11-50 — Инвестиции — $26M

Zадачи: — Выполнение планов продаж; — Ежедневные маршруты и поиск новых торговых точек. Требования: — Опыт работы в должности торгового представителя в направлении Хорека; — Возраст от 18 до 30 лет; — Свободное владение узбекским и русским языками; — Опыт работы с программой Smartup ERP. Условия: — Зарплата от 5 000 000 до 10 000 000 сум; — График работы 6/1 с 09:00 до 17:00; — Оплата по результатам работы.

Location: Istanbul, Turkey P.I. Works is the first company in the world to automate the management of a commercial 5G network. Our automated network management products and services empower mobile operators to accelerate network transformation and to drive network quality and efficiency on the path to 5G. These solutions have been successfully deployed by 87 mobile network operators across 60 countries worldwide. We are looking for an experienced Project Manager to lead complex Mobile Network Automation & Optimization projects for our global customers, in a challenging multi-national and multi-cultural work environment. Job Description: Take overall responsibility for planning, coordinating, and executing assigned mobile network projects, spanning network automation software, optimization, engineering, professional and managed services from initiation through completion. Manage multiple large, complex projects simultaneously, working within stringent deadlines to complete assignments within a restricted time period. Coordinate cross-functional teams including Engineering, Product, Integration, Support, Delivery, Sales, Finance, and external partners, across geographically distributed locations and time zones. Act as the primary interface with customer project managers, technical teams, and senior stakeholders, building customer confidence through transparent and structured project management. Establish and maintain cooperation and relations with Mobile Network Operator stakeholders and internal department employees. Coordinate activities involving multi-vendor, multi-technology mobile networks, including 2G/3G/4G/5G, RAN, network automation, and SON/AI-driven optimization. Interpret, analyze and evaluate available data, and make decisions concerning complex and comprehensive operational problems. Establish and maintain project risk and issue registers, proactively identifying and mitigating technical, commercial, resource, and operational risks. Manage project financials, resource planning, customer acceptance, and reporting; estimate, manage, and de-risk project schedules and budgets. Actively take part in contract preparation and pre-sales phases of the projects; support business development by identifying new opportunities and contributing to proposals and solution design. Ensure project deliverables meet contractual and agreed technical requirements, coordinating customer acceptance, KPI verification, and final handover activities. Exercise good judgment in safeguarding confidential or sensitive information. Communicate effectively, orally and in writing, at all levels, including with C-level stakeholders. Support Managed Services and Professional Services engagements, including service mobilization, SLA/KPI monitoring, and subcontractor coordination where required. Required Qualifications: Bachelor’s degree in Telecommunications, Electrical/Electronics Engineering, Computer Engineering, Information Technology, or a related technical discipline. 8+ years of experience in the mobile telecommunications industry, including at least 5+ years in project/program management or a comparable customer-facing delivery leadership role. PMP Certification is a plus. Functional knowledge of Microsoft Project and PMBOK methodology. Proven project management experience in multi-country, multi-cultural, and customer-facing environments. Demonstrated team building and leadership skills, including the ability to lead teams without direct hierarchical authority. Good understanding of mobile network technologies including 4G/5G, RAN, network optimization, automation, OSS/BSS, or managed services. Solid understanding of engineering technical issues/needs, financial, sales, and marketing. Excellent presentation skills, with strong stakeholder management and negotiation skills. Experience communicating effectively through all stages of a project’s lifecycle, including C-level communication. Travel between project locations will be needed. Fluent English is a must; a second language is a plus. Experience in Network Automation/SON, AI-driven optimization, RAN Optimization, Telecom Software Solutions, Professional and Managed Services, or System Integration is a plus.

Location: Indianapolis, United States; Chicago, United States; Cincinnati, United States; Columbus, United States; West Lafayette, United States; Bloomington, United States Location: Indianapolis, IN Metro (Hybrid / 3-Day Onsite) (Open to Regional/EST Candidates with Onsite Travel) Contract Type: Contractor Full-Time / Enterprise Project Engagement (Outsourced via Xenon7) About Xenon7 Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth. Job Summary We are seeking a Senior Machine Learning Engineer with extensive experience in production MLOps, model deployment, and system scaling to drive ML engineering initiatives for a top-tier life sciences client. This role sits at the critical intersection of production ML infrastructure, life science research, and manufacturing process engineering. In this position, you will own the architectural design and hands-on execution of production ML systems, model integration APIs, and scalable MLOps pipelines. You will bridge complex domains—from computational biology, small and large molecule research, and clinical trial analytics to active pharmaceutical ingredient (API) manufacturing processes, batch optimization, and industrial automation ML. Operating in a 3-day onsite hybrid capacity in Indianapolis, you will collaborate directly with process engineers, life science researchers, and platform engineering teams to build robust, low-latency ML systems that scale across the enterprise. Key Responsibilities Production MLOps & Systems Architecture Design, deploy, and maintain robust, production-grade MLOps pipelines and infrastructure for continuous model training, deployment, versioning, and monitoring. Implement automated model drift detection, performance monitoring, and self-healing inference pipelines in high-reliability environments. Process Engineering & Manufacturing ML Integration Operationalize and integrate production ML models into operational technology (OT), API manufacturing workflows, and chemical process control systems. Deploy predictive models for batch processing, process control optimization, real-time quality assurance, and facility automation use cases. Scalable Inference & System Integration Build low-latency, high-throughput microservices and serving architectures (FastAPI, Triton Inference Server, TorchServe) for model deployment into live production applications. Containerize and orchestrate ML workloads across distributed cloud and edge systems using Kubernetes, Docker, and modern pipeline engines (Kubeflow, MLflow). Technical Leadership & Domain Alignment Partner directly with chemical engineers, computational biologists, and software architects to translate operational friction into production-ready ML engineering solutions. Establish enterprise MLOps standards, model governance, and CI/CD best practices across the full machine learning operational lifecycle. Requirements Experience & Mindset Experience: Senior-level proficiency (10–20+ years) in software engineering, MLOps, production ML system deployment, and infrastructure scaling. Domain Adaptability: Demonstrated ability to deploy and maintain production ML systems across non-standard, highly specialized domains (e.g., transition between process/chemical engineering ML and clinical/scientific research applications). Location & Work Auth: Must hold unrestricted US Work Authorization (no sponsorship available) and be able to work 3 days per week onsite in the Indianapolis, IN area. Culture & Communication: Pragmatic problem-solving mindset, strong collaborative drive, and the ability to articulate complex MLOps architecture to cross-functional engineering teams. Must-Have Technical Stack Languages & Frameworks: Advanced Python, C++, and deep proficiency with PyTorch, TensorFlow, or Scikit-learn. MLOps & Serving: Proven expertise with Triton Inference Server, TorchServe, MLflow, Kubeflow, or Databricks ML runtime. Infrastructure & Orchestration: Hands-on expertise with Kubernetes, Docker, CI/CD pipelines, FastAPI/gRPC, and cloud platform ecosystems (AWS/Azure). Monitoring & Integration: Experience building real-time model monitoring, feature stores, drift detection systems, and integration with enterprise data pipelines. Domain Competency (Scientific & Process Focus) Deep exposure to applying ML models in either scientific/clinical domains (drug discovery, small/large molecule, computational biology) OR chemical/process engineering environments (API manufacturing, batch processing, SCADA/MES integration, process optimization). Nice-to-Haves & Certifications Academic background in Chemical Engineering, Bio-process Engineering, Computer Science, or a related STEM discipline. Direct experience operationalizing ML models inside regulated GxP environments in the Life Sciences or Specialty Chemicals sectors. Certifications: AWS Certified Machine Learning – Specialty, Databricks Certified Machine Learning Professional, or equivalent MLOps credentials. What This Role Is NOT Not a Data Scientist or Exploratory R&D Specialist: You will not be focusing on exploratory data analysis, academic algorithms, or standalone Jupyter notebook modeling; you are building, scaling, and maintaining production MLOps pipelines, inference engines, and model integration code. Not a non-coding Architect: This is a 100% hands-on MLOps and software engineering lead role requiring direct model deployment, infrastructure creation, and technical execution. Not a Fully Remote Position: This role requires a steady hybrid commitment of 3 days onsite per week at the client site in Indianapolis.

Location: Ho Chi Minh City, Vietnam; Vietnam Top Reasons To Join Us Working for the Insurtech Market Leader. 100% Remote Working with cutting edge technologies (Kubernetes, Terraform, GraphQL etc.) and multiple Cloud providers (AWS/Azure/GCP). About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C. We’re the winner of the Insurtech of the Year in all of Asia and other awards globally. We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more. We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world. We are fully funded and backed by reputable VC funds and strategic institutional investors. We have a global presence in Asia, EMEA and the Americas. We’ve grown our annualized revenue by over 30x since January 2021. We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world. About the Role We are seeking a Senior Full Stack Engineer with a strong focus on Support & Observability to join our global engineering support team. This role is ideal for engineers who are passionate about solving complex technical problems, improving system reliability, and delivering exceptional customer experiences. You’ll be part of the frontline technical team —working directly with customers, troubleshooting and resolving platform issues, and collaborating with engineering teams to improve our systems, tools, and processes. While this is a support-heavy role, solid software engineering skills and strong observability knowledge are essential . About Support Team Our Support Team acts as the first line of technical assistance for our customers and internal stakeholders. We not only resolve technical issues but also focus on advocating for customers, enhancing support tools, improving documentation, and collaborating closely with engineering teams to elevate the overall experience. The team works closely with product and project engineering teams to deliver the best possible experience to our customers at scale , ensuring that solutions are not only reactive but also continuously improved for long-term impact. What You Will Do Triage and troubleshoot support issues, when required escalate to project or product engineering teams. Analyze system behavior using observability tools—logs, metrics, tracing—to diagnose root causes of incidents in distributed systems. Debug application code (primarily in .NET or NodeJS) and, when required, contribute fixes or code-level solutions. Take ownership of technical issues by directly investigating and resolving problems at the code level, including identifying root causes and implementing fixes when necessary. Work closely with our technical stack (AWS, Azure, GCP, Kubernetes, Dapr, Terraform, Temporal, Mongo Atlas, PostgreSQL) and our platform languages (.NET, NodeJS, Java). Configure enterprise monitoring solutions. Conduct thorough post-incident reviews to identify root causes and implement preventive measures. Automate support needs, develop runbooks, improve and maintain support tools. Participate in infrastructure capacity planning, demand forecasting, software performance analysis and systems tuning. Understand our product offerings and continuously look for ways to improve the engineering support experience and platform engineering tooling. Participate in R&D / explorations / automation with AI. Help define and drive adoption of KPIs such as CSAT, NPS, resolution time, and first contact resolution. Participate in strategic discussions around customer lifecycle, retention, and satisfaction. What We Need At least 6 years of experience in support or full stack engineering with a strong focus on delivery, observability, and cloud technologies. Strong hands-on experience in software development with modern technologies such as .NET, Node.js and React or Vue.js. Proven experience leading a squad/team , coordinating team members, driving delivery, and providing technical guidance and mentorship. Distributed Systems Troubleshooting: Proven track record of diagnosing and resolving complex issues in distributed systems. Observability and Monitoring Tools: Experience in utilizing observability platforms for metrics, logs, and tracing to pinpoint root causes in microservice architectures. Exceptional problem-solving skills and ability to take ownership of customer issues through to resolution. Strong communication and interpersonal skills to build rapport with customers and collaborate effectively with internal teams. Fluent in English. A customer-first mindset—empathetic, responsive, and solutions-driven. A humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed. Being adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthlessly prioritize. You might thrive in this role if You prefer short projects where you can go deep and chase a problem down vs. building long-term solutions over many months. You enjoy seeing multiple use cases, understanding the broad landscape, all while going deep on specific issues. You have previous experience in the insurance or InsurTech space. You are proficient with customer support platforms (e.g., Jira, Zendesk). You have proven track record of leading and scaling customer service operations in a fast-paced environment. Why You'll Love Working Here International Environment Competitive remuneration package Fully Remote Annual Leave Annual Performance Bonus Stock Options after 6 months Health Insurance Remote Work Allowance Company activities and events Learning and development plan CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Bulgaria; Kosovo; North Macedonia; Slovakia; Bosnia and Herzegovina About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We’re looking for an experienced Media Buyer with 4+ years of hands-on experience managing and scaling paid advertising campaigns. This is more than a campaign-management role. You’ll be expected to understand the entire conversion funnel, from ad creative and targeting through landing-page performance, conversion rate optimization (CRO), and average order value (AOV). The ideal candidate is highly analytical, commercially minded, and comfortable making decisions based on performance data. You should be able to identify whether performance issues originate from the ads, landing pages, offer, conversion rate, or broader customer journey and recommend actionable improvements. Key Responsibilities Plan, launch, manage, and optimize paid media campaigns across relevant advertising platforms. Monitor campaign performance and allocate budgets based on profitability and growth opportunities. Analyze key metrics including ROAS, CPA/CAC, CTR, CPC, CPM, conversion rate, and AOV. Evaluate landing pages to identify friction points and opportunities to improve conversion rates. Apply conversion rate optimization (CRO) principles to improve campaign profitability. Analyze average order value (AOV) and understand how offers, bundles, upsells, and the customer journey impact overall economics. Diagnose performance across the complete funnel rather than optimizing advertising metrics in isolation. Develop and execute structured testing strategies across audiences, creatives, offers, and landing pages. Identify winning campaigns and confidently scale budgets while maintaining performance targets. Collaborate with creative, marketing, and other stakeholders to develop new campaign angles and improve performance. Produce clear performance reports and translate data into actionable recommendations. Stay current with paid media trends, platform changes, and performance marketing best practices. Requirements 4+ years of professional media buying / paid advertising experience. Proven track record managing and optimizing meaningful paid media budgets. Strong understanding of performance marketing and direct-response advertising. Demonstrated ability to evaluate landing-page performance and conversion funnels. Strong knowledge of CRO and conversion-rate analysis.Strong understanding of AOV, CAC/CPA, ROAS, and unit economics. Ability to interpret campaign and funnel data and identify the underlying causes of performance changes. Experience designing and evaluating A/B tests across creatives, audiences, offers, and landing pages. Strong analytical and problem-solving skills. Comfortable taking ownership of performance targets and making data-driven decisions. Excellent written and verbal English communication skills. Ability to work independently in a remote environment and communicate effectively with a distributed team. Benefits 💻 Fully Remote: Work from anywhere with international teams 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Heliax is a remote-first company that researches, develops, deploys, and maintains open-source protocols and mechanisms to serve everyday needs, including Anoma and Namada projects. Applicants must be based in Europe (including the UK) and willing to travel to Berlin for initial onboarding. Responsibilities: — Design new cryptographic protocols (e.g. shielded state sync) to meet specified information flow, security, and performance goals. — Evaluate and analyze existing cryptographic protocols and proof systems (e.g. zkSNARKs, zkSTARKs, Halo2, ProtoStar, Risc0 zkVM) for security, expressivity, and performance. — Update, reimplement, and combine cryptographic protocols, customizing them for proofs-of-concept and production use-cases. — Produce comprehensive technical specifications for cryptographic designs and collaborate with engineers on implementations. — Implement, review, and test cryptographic operations and protocols, primarily in Rust, and evaluate implementations for correctness and performance. Requirements: — Mathematical and/or cryptographic background in relevant subfields (complexity theory, abstract algebra, cryptographic protocol design). — Expertise (formal or informal) in constructive protocol design and analysis of distributed cryptographic protocols. Nice to have: — Published papers in mathematics, theoretical CS, and/or cryptography. — Experience with distributed systems and/or operating systems architecture/design. — Experience with Zerocash/Zexe/VeriZexe and related architectures. — Academic qualifications in a relevant field (cryptography or mathematics). Stack includes Rust, zkSNARKs, zkSTARKs, Halo2, ProtoStar, Risc0 zkVM, Arkworks, elliptic curves, hash functions, DKG, threshold encryption. Benefits: — Relocation and visa assistance for Germany. — High degree of independence in working conditions and task prioritization. — Work closely with a small cross-disciplinary team on research-led projects. — Opportunity for travel, including initial onboarding in Berlin.

Обязанности: — Тестирование мобильного приложения iOS / Android, веб-кабинета и админки. — Проведение manual testing, написание и поддержка автотестов UI / API. — Сопровождение релизов: проверка задач, smoke и regression testing, проверка hotfixes и production issues. — Тестирование REST API через Postman: payloads, status codes, headers, authentication, webhooks. — Анализ логов и ошибок в GCP Cloud Logging, Sentry, Crashlytics и воспроизведение/локализация проблем. — Анализ требований, acceptance criteria и макетов Figma, выявление пробелов и неоднозначностей до начала разработки или тестирования. — Подсвечивание рисков и проблемных сценариев. — Создание bug reports в Jira и ведение задач до закрытия. — Взаимодействие с системным аналитиком, PM, разработчиками и дизайнером. — Подготовка test plans, checklists, test cases и test scenarios. — Создание скринкастов багов и протестированных сценариев. — Развитие QA-подходов в команде. Требования: — 3+ года опыта в Fintech / Payments, включая интеграции, платёжных провайдеров или денежные переводы. — Уверенный manual testing web и mobile-приложений. — Практический опыт тестирования REST API и интеграций. — Уверенный опыт работы с Postman, понимание HTTP / HTTPS, методов, status codes, headers, JSON, idempotency и webhooks. — Умение читать логи в GCP Cloud Logging / Sentry / Crashlytics или аналогах. — Знание SQL / NoSQL на уровне написания и понимания запросов. — Опыт с UI / API autotests: Playwright, Cypress, Appium, Newman или аналогами. — Понимание CI/CD pipeline. — Понимание Scrum, UX и пользовательских сценариев. — Английский B1+. Будет преимуществом: — Опыт с PayPal, Stripe или локальными платёжными провайдерами. — Знание AML / KYC, 3DS, chargebacks. — Опыт тестирования мобильных билдов через TestFlight / Firebase App Distribution. — Опыт solo QA или выстраивания QA-процессов с нуля. Условия: — Оформление: Service Agreement.

Задачи: - Проектирование и разработка архитектуры, выбор технологического стека - Проектирование и поддержка real-time алгоритмов ценообразования (pricing engines), алгоритмов кэширования, мониторинга и профилирования нагрузки, отказоустойчивости - Оптимизация производительности и масштабируемости сервиса - Выбор архитектурных паттернов, анализ технических рисков - Разработка ТЗ, взаимодействие с другими командами для обсуждения архитектуры решения, предложение и реализация улучшений - Оптимизация архитектуры для обработки больших объемов данных - Проектирование и реализация интеграций с внешними источниками данных: API, базы данных, очереди сообщений - Работа с базами данных: PostgreSQL, Redis, ClickHouse и др. Требования: - Опыт в Golang-разработке и проектировании высоконагруженных систем от 5 лет - Опыт проектирования отказоустойчивых систем: Fault Tolerance, Disaster Recovery, опыт построения масштабируемых систем: Horizontal/Vertical Scaling - Опыт интеграции систем по HTTPS, REST, JSON, Kafka, gRPC - Опыт работы с базами данных: PostgreSQL, Redis, ClickHouse Будет плюсом: - Опыт в банковской или финансовой сфере - Опыт работы с HFT-системами: алгоритмический трейдинг, маркет-мейкинг, арбитраж - Опыт построения сервисов по расчету цен/риск-параметров/параметров портфелей - Понимание работы кэширования (L1/L2 Cache, Distributed Cache) - Владение инструментами AI для анализа, генерации и автоматизации

About OkWhen OkWhen builds technology that powers live, virtual, and hybrid events. Their platform supports conference management, registration, payments, mobile apps, content libraries, webinars, LMS functionality, CEU tracking, sponsor management, and operational workflows. The Outcome We’re Hiring For You will own meaningful parts of the application and consistently deliver reliable software without requiring constant supervision. You will improve system performance, reduce technical debt, and turn operational problems into simple, maintainable products. This role requires understanding the existing system, making sound technical decisions, and following work through from discovery to production. Responsibilities: — Design, build, test, deploy, and maintain production software — Develop backend services and APIs using C# and ASP.NET/.NET — Build and maintain web applications using Angular — Design, optimize, and troubleshoot SQL Server databases and queries — Maintain and extend mobile applications using .NET MAUI — Investigate and resolve production issues — Improve application reliability, performance, security, and observability — Write automated tests and maintain technical documentation — Participate in code reviews and establish engineering standards — Collaborate with product, operations, and event-production teams — Break ambiguous business problems into clear technical plans — Use AI-assisted development tools responsibly to improve speed without sacrificing quality Requirements: — 7+ years of professional software development experience — Strong commercial experience with C#, .NET, and ASP.NET Core — Strong experience with Angular and TypeScript — Advanced working knowledge of SQL Server, database design, and query optimization — Production experience with .NET MAUI or Xamarin — Experience designing and consuming REST APIs — Experience with Git, CI/CD, debugging, and automated testing — Demonstrated ability to work independently in an existing codebase — Strong written and verbal communication — Comfortable owning outcomes, not just completing assigned tasks Preferred Qualifications: — Experience with SaaS platforms — Experience with event management, registration, payments, LMS, or communications systems — Cloud experience with Azure or AWS — Experience with distributed systems, queues, integrations, or real-time applications — Experience modernizing legacy applications — Experience mentoring other developers Conditions: — Health Care Plan (Medical, Dental & Vision) — Retirement Plan (401k, IRA) — Paid Time Off (Vacation, Sick & Public Holidays) — Family Leave (Maternity, Paternity) — Training & Development — Work From Home