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Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s Inference organization serves Claude to millions of users and enterprise customers, across our own products and the world’s largest cloud platforms, with the speed, reliability, and efficiency that frontier AI demands. The stack that makes this possible is deep and tightly coupled: accelerator kernels, an in-house inference engine that manages the entire token path for both production and research workloads, distributed routing, autoscaling, and capacity management. Every layer affects the others, often in ways that are hard to see in isolation. We build across GPUs, TPUs, and Trainium, and the complexity of building, testing, and shipping inference software grows with every platform we add. We're looking for a Technical Program Manager to drive the programs that scale it. The work spans four closely coupled areas: Scaling and infrastructure. Routing, autoscaling, and capacity management for the serving fleet, and bringing new capacity online. Velocity. The toolchains, development environments, and CI/CD that let inference engineers build, test, and ship across every accelerator platform. Inference engine. The software between the accelerator kernels and the routing layer that serves every request. Performance. Improving throughput, latency, cost, and reliability across the stack, with correctness treated as part of performance. This is not a status-tracking role. You'll own outcomes end to end, often where no single team is accountable for the whole picture. Much of your value comes from crossing boundaries into Research, Safeguards, Security, Compute, Infrastructure, API, and our cloud and silicon partners, and bringing back the requirements and dependencies that no team sees from inside its own space. There is little process to inherit, and we want to keep it that way: you'll build the minimum machinery the work needs and remove it when it stops helping. And because this is Anthropic, you'll have Claude as a collaborator. We expect TPMs on this team to push hard on what AI-assisted program management and fleet operations can look like. Key responsibilities Own the programs that scale Claude’s serving fleet across accelerator and cloud platforms, from early direction through delivery. Drive new capacity online end to end, working across compute, infrastructure, security, networking, and inference teams so one person is accountable for the whole path. Build visibility into supply, demand, and utilization with capacity and finance partners, and drive trade-offs among utilization, cost, latency, and reliability to a clear decision. Lead reliability programs and large migrations without disrupting production traffic or research, and make sure incident follow-ups land in team roadmaps. Drive the programs that make inference engineers faster: define the productivity metrics that matter, find the bottlenecks, and improve how software is built, tested, and released across platforms, in step with Anthropic’s central Infrastructure org. Coordinate roadmaps and priorities across the production, research, and safeguards needs that depend on the same teams. Track performance and efficiency work from opportunity to measured impact in production, with correctness held as a release criterion. Own inference readiness for model launches alongside our launch TPMs. Minimum qualifications 7+ years of experience as a TPM, or in an equivalent engineering or SRE lead role, owning large multi-team infrastructure programs end to end in production distributed systems, ML infrastructure, or cloud platforms. You can speak to the outcomes in detail, including where a program slipped and what you did about it. Technical fluency in large-scale serving infrastructure, including request routing and load balancing, autoscaling, capacity planning, cluster orchestration, deployment and rollout, and observability. You know enough to challenge a design, find the real risk, and add value beyond tracking. A working understanding of how LLM inference uses hardware (prefill and decode, batching, caching, compute versus memory bandwidth versus interconnect), or a track record of getting deep in an unfamiliar technical domain quickly. A track record of building program mechanisms from scratch on ambiguous, fast-moving efforts, and of retiring process that has stopped earning its keep. The ability to drive outcomes across organizations you don't manage, with competing priorities and unclear decision ownership. You read people and rooms well, know when to push and when to listen, and earn the trust of senior engineers and researchers. Strong written communication, including plans, reviews, and executive updates that many teams depend on. Low ego and high ownership. You do whatever the program needs, whether that is writing a script, running an incident bridge, or chasing a quota, and you care more about the outcome than about scope or credit. Care about Anthropic's mission and about serving frontier AI safely and reliably. Preferred qualifications Direct experience with LLM or ML inference serving at scale, such as model servers, batching and scheduling, KV caching, quantization, speculative decoding, or multi-model routing. Experience with accelerator infrastructure (GPU, TPU, or Trainium), including cluster bring-up, hardware qualification, or running one workload across more than one accelerator platform. Experience managing capacity across multiple clouds or regions, including demand forecasting, headroom policy, cost modeling, or unit economics for compute-heavy services. Experience with developer productivity, release engineering, or CI/CD at scale, especially for hardware-dependent workloads, and with using engineering metrics to measurably raise velocity. Experience running performance or efficiency programs, with enough grounding in rooflines, kernels, ML compilers (XLA, Triton, Neuron), numerics, or collective communication to reason about trade-offs with the engineers doing the work. Familiarity with Kubernetes-based orchestration and job scheduling. Experience working with research teams and turning their needs into infrastructure requirements. Practical experience using AI tools in your own workflow, including building automations or agents, and clear ideas about where they help and where they don't. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States (remote) Workplace: Remote About Us Axelera AI https://www.axelera.ai is not your regular deep-tech company. We design AI inference silicon spanning edge and enterprise deployments, built on a low-power architecture that delivers strong performance-per-watt from embedded devices up through large-scale inference infrastructure. In just five years we have raised $450 million and built a team spanning 22 countries. We are headquartered at the High Tech Campus in Eindhoven in the Netherlands and we placed No. 3 on Fast Company's 2026 Most Innovative Companies list in the Emerging Enterprise category. Our September 2026 launch of Europa brought physical and enterprise AI to market through a growing partner ecosystem that includes Dell and Supermicro. That ecosystem is now one of the most important things we have, and it needs someone whose whole job is ensuring it thrives. Are you up for the challenge?   Position Overview You will own marketing with our largest global customers and with the customers who have become partners — the OEMs, system builders, and integrators who put Axelera silicon inside the products their own customers purchase. This is not a channel-program job where you administer MDF and chase logos for a partner page. You will partner with your sales counterparts, sit down with a handful of named accounts, understand what each strategy and how it aligns with Axelera, and build a joint marketing plan that helps them drive our collective business. Then you will execute it: the launch moments, the co-branded content, the event presence, the campaign that runs on their list and ours. The people you work with on the partner side are marketers with their own targets and their own executives to answer to. Your job is to make Axelera the easiest company they collaborate with all year; executing friction-free, high-impact campaigns where both companies win. What You'll Do - Qualify, build and run joint marketing plans with a named set of global customers and customer-partners, ensuring every co-marketing effort aligns with Axelera’s strategic goals while delivering clear value to the partner, from goals through to results - Produce the assets those plans need: co-branded campaigns, solution briefs, customer stories, launch content, demand generation - Own partner presence at industry events — booth-in-booth, joint sessions, launch moments, the pre- and post-show follow-through that most people skip - Work with Sales and Product to turn what each partner sells into positioning their buyers understand - Bring partner voices into our launches, and get Axelera into theirs - Report on what worked: pipeline influenced, content used, programs a partner asks to repeat - Represent Axelera in front of partner marketing teams and their executives, in person and often What You Bring You need these: - Experience in a partner, channel, or alliance marketing role — you have built joint plans with named partners and taken them to market. You know how to align partner desires with internal business priorities, steering joint opportunities toward mutual commercial return. We move fast, and this is the one thing we cannot teach you on the job - A track record of working with large, structured organizations where marketing decisions pass through several people - Comfort with technical products and the eagerness to learn a new set - Strong writing. You will use AI in a lot of what you do, but you need to know what great writing is and can ensure what is produced meets a very high bar. - Willingness to travel — see below Helpful, not required: - Semiconductor, hardware, embedded, or AI infrastructure background - Experience working across US and European teams or time zones - A second language How We Work Autonomy is real here. You will not have a manager building your calendar or a marketing operations team queued up behind you. You will decide what matters this quarter, say so, and go do it. That includes evaluating partner opportunities with a commercial lens, prioritizing high-ROI initiatives over low-impact noise. People who need structure handed to them find this hard. People who have wanted this kind of room for years tend to do the best work of their careers. You will use AI every day. We expect it in research, drafting, analysis, and anywhere else it saves you hours. We also think the reason this role exists is that partner marketing runs on trust between specific human beings. The relationship with a partner marketing lead who takes your call, tells you the truth about their roadmap, and goes to bat for you internally is the thing AI cannot do. Use the tools to buy yourself more time for those relationships, not less. You will learn a lot. Just not the mechanics of this role. You should arrive knowing what great partner marketing looks like, and then help us build out that muscle here. Your experience and knowledge will shape the future of Axelera - this should excite you! What Success Looks Like in Year One - Joint marketing plans in place and running with your named accounts, with each partner's marketing lead able to say what we are doing together and why - A repeatable co-marketing motion — content, launch support, event presence — that a new partner can be brought into without starting from scratch - Partner-sourced and partner-influenced pipeline you can point to and explain - Partner presence at the industry events that matter to our verticals Location This role is remote in the United States. You should expect to travel roughly 15-20% of the time — partner sites, customer visits, and industry events across the Americas and Europe, with periodic trips to Europe, including our Eindhoven headquarters. What we offer  This is your chance to shape and be part of a dynamic, fast-growing, international organization. We offer an attractive compensation package, including a pension plan, extensive employee insurances and the option to get company shares.    An open culture that supports creativity and continual innovation is awaiting you. Collaborative ownership and freedom with responsibility is characteristic for the way we act and work as a team.  If you meet the must-haves and are unsure about the rest, we would still like to hear from you. At Axelera AI, we wholeheartedly embrace equal opportunity and hold diversity in the highest regard. Our steadfast commitment is to cultivate a warm and inclusive environment that empowers and celebrates every member of our team. We welcome applicants from all backgrounds to join us in shaping the future of AI. Axelera AI may at times work with external parties (such as recruiters, headhunters, or executive search firms) to support both publicly posted and confidential searches. Our hiring process never involves any payment from candidates, and we will never require you to use a particular paid service to be considered for a role. If you have been approached by someone on our behalf and want to confirm it’s legitimate, please contact us directly at careers@axelera.ai.

Tasks & Responsibilities: — Develop and execute your strategic and tactical business plan to drive revenue in strategic named accounts assigned to you — Own the revenue number for your accounts: new customer acquisition, expand existing relationships and install base, define and land new strategic relationships — Provide thought leadership to customers and, when available, at industry events — Employ channel partners to grow adoption — Develop strong champions within your customers who actively advocate for Yubico — Coordinate with internal resources in a dynamically growing business to deliver an outstanding customer experience — When required work collaboratively to develop complex custom solutions Basic Qualifications: — Minimum 10+ years of experience in a similar role — Deep understanding and experience in selling technology to enterprise customers — Demonstrated ability to execute complex sales cycles with accuracy — Understanding of the Cyber Security and Identity & Access Management (IAM) marketplace, with demonstrated success selling authentication or security solutions at the enterprise level — Track record of overachievement via direct sales, through partners and SI’s — Comfortable having deep technical conversations with engineering/security professionals, and able to present at CTO, CIO or CISO levels — Located in the San Francisco Bay Area — This position is an individual contributor and field sales role Benefits: — Health coverage including dental and vision; 100% premium paid for employee and 85% for family — Retirement plan with 401K dollar per dollar match up to 6% with a cap of $6K/year and immediate vesting — Wellness reimbursement of $1,200 prorated based on start date — Yearly development stipend of $3,000 and mentorship program — 15 vacation days plus 10 holidays and 7 sick days per year — Paid parental leave: 8 weeks for all parents, birthing parents receive an additional 8 weeks (16 weeks total) — Commuter benefits if commuting to office Company and Culture: — Yubico is a global leader in identity security and creator of the YubiKey — Publicly traded on Nasdaq Stockholm with headquarters in Stockholm, Silicon Valley, and Singapore — Mission-driven company focused on securing the AI frontier and post-quantum cryptography — Values include simplifying products, thinking big, championing open internet, collaboration, and inclusion — Offers freedom and flexibility to work 100% remote or hybrid/onsite — Inclusive environment valuing diversity and equal opportunity Compensation: — Annual salary range $155,000 — $175,000 USD — Variable compensation $155,000 — $175,000 USD — On-target earnings (OTE) $310,000 — $350,000 USD Additional Information: — Equal opportunity employer — Does not accept agency resumes or referrals — Personal data used for recruitment and onboarding processes in compliance with privacy policies — Application via provided URL

Location: Israel; United Kingdom; France; Germany; Netherlands; Mexico About us At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients' growth. We empower our people with a culture of excellence, and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone's contribution is welcomed. We are looking for a Signal Integrity/Power Integrity Engineer to join us as part of our team. About the role As a Signal Integrity/Power Integrity Engineer you will work to shape the future of AI/ML hardware acceleration by driving cutting-edge TPU (Tensor Processing Unit) technology that powers the most demanding AI/ML applications. You will be part of a team developing custom silicon solutions, leveraging your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. You will lead chip and package design, ensuring optimal SI/PI performance and system co-design from concept to production, while collaborating within a cross-functional team of Chip Design, IP, System Design, software, and vendors. As a qualified expert You will Lead signal integrity (SI) and power integrity (PI) analysis and optimization for High-Performance Computing (HPC) leveraging advanced 2.5D/3D packaging technologies. Partner early in product definition to influence chip floorplanning, power distribution networks (PDN/power trees), netlists, and routability tradeoffs. Evaluate high-speed interface IPs and develop next-generation memory interfaces across IO PHY, SI/PI, and physical design boundaries. Drive post-silicon validation and qualification for NPI, balancing SI/PI performance and DFM constraints to achieve final package design closure. Partner closely with silicon, system, and external vendor teams while developing simulation methodologies to boost modeling accuracy and efficiency. We're looking for you if you have Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. 8 years of experience in SI/PI design for chip/package or system PCB. Experience in industry SIPI modeling tool chains (e.g., HFSS, ADS, Sigrity, Siwave, etc.). Experience with lab bring-up, test environments, and characterization for high-speed memory and SerDes. Experience with partnering across chip architecture, physical design, static timing analysis (STA), package, and validation teams. Experience in Python, MATLAB, or C++ to establish automated flows and data processing tools. Bonus points Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture. Deep knowledge of SI/PI analysis for high-speed interconnects (HBMx, D2D/chiplets, PCIe, SerDes) and timing budget methodologies. Direct experience with silicon interposers, silicon bridges, and 3D die stacking architectures. What's in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture. Embrace the opportunity for personal and professional growth Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more. Feel cared about Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Interview steps Interview with Recruiter Manager Interview Client Interview

Location: Mexico; Netherlands; Germany; France; United Kingdom; Israel At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. And now we are looking for a Package Design Engineer to join us as part of our team. About Role Be part of a team pushing the boundaries of semiconductor innovation by developing custom silicon solutions that power next-generation consumer and infrastructure products. You will contribute to technologies used at massive global scale, helping shape future hardware platforms with a strong focus on performance, efficiency, reliability, and system-level integration. As a Chip Package Designer within the Silicon Integration team, you will develop package substrate designs for advanced 2.5D/3.5D packaging technologies used in high-performance ML and AI chips. You will collaborate closely with Signal Integrity/Power Integrity (SI/PI), Thermal/Mechanical, Assembly, and PCB engineering teams to develop complex, high-performance substrate designs. The primary objective will be to optimize package substrate architecture for electrical performance, reliability, manufacturability, and assembly. You will manage all major phases of the package design process, including routing feasibility studies, test vehicle development, product-level designs, design reviews, artwork export, DFM activities, and preparation of final manufacturing documentation. You will also contribute to the evaluation and adoption of advanced chip packaging technologies within the broader silicon product development pipeline. Your work will directly support successful deployment of advanced computing systems in large-scale data center environments, helping optimize PPA (Power, Performance, Area) while improving overall system performance, power efficiency, and TCO (Total Cost of Ownership). The broader AI and Infrastructure organization is focused on building next-generation computing platforms and infrastructure at exceptional scale, efficiency, reliability, and speed. These technologies support internal engineering teams, enterprise customers, and large-scale consumer-facing services worldwide. The organization works across both hardware and software, including custom AI accelerators, advanced silicon platforms, AI infrastructure, large-scale networking, data center technologies, distributed computing systems, and systems research. Work Environment Fully remote role. Flexible schedule with participation in team ceremonies and cross-functional collaboration. As a qualified expert, You will: Develop physical package substrate design of large form-factor package for ML high-performance computers (HPCs). Develop and implement the methodology and CAD flow for efficient substrate design and enhanced productivity. Manage and drive co-design initiatives across chip, package, and system levels, including securing production sign-off for package designs. Collaborate closely with signal integrity/power integrity (SI/PI), thermal, and mechanical engineering teams to refine and optimize product package designs, test vehicles, and mock-up designs for product feasibility. Define and document the requirements for the package substrate design and bill of materials (BOM). We’re looking for you if you have Bachelor's degree in Mechanical Engineering, Material Engineering, Electrical Engineering, Technology, Science, a related field, or equivalent practical experience. 8 years of experience in chip package substrate design using Cadence APD or Mentor Expedition. Experience in chip package substrate layout, design verification, DFM and taping out for production. Experience in design automation and scripting. English — Upper Intermediate or higher. Bonus points Master's degree or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field. Experience in working with cross-functional teams including chip design, SI/PI, and PCB design teams. Experience in 2.5D/3.5D advanced package design. Experience in physical verification flow (LVS, DRC, connectivity). Experience with CAD for creating simple mechanical drawings, such as package outline drawings (POD). Ability to write scripts to customize elements of the Cadence or Mentor workflow. Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture. Embrace the opportunity for personal and professional growth Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more. Feel cared about Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values.

Location: Tunis, Tunisia Workplace: hybrid About Yassir:   Yassir is the leading super app in the Maghreb region, set on changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia, with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (~$200M in funding) by VCs from Silicon Valley, Europe and other parts of the world. We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. We're helping usher the continent into a digital economy era, not just by serving people, but by building a marketplace that brings people what they need while infusing social values. About the Role Yassir's marketplace runs on decisions made millions of times a day: which driver gets which trip, what a ride should cost, when an order will arrive, which transaction looks fraudulent, who qualifies for credit. We are looking for a Product Manager who owns the machine learning systems behind those decisions and is accountable for their measurable impact on the business. This is a product role for ML-heavy, data-intensive products. You will lead discovery from data rather than from opinion, frame business problems as problems a model can actually solve, define what success means both offline and in production, and prove impact through well-designed experiments. You will work closely with data scientists, ML engineers and data engineers, and with product and operations partners across ride-hailing, delivery and financial services. What This Role Is (and Isn't) This role centres on predictive and decisioning ML: ranking, matching, forecasting, pricing, risk and personalisation. Experience building LLM or agentic features is welcome, but it is not a substitute for the fundamentals below. If your ML product experience is primarily integrating third-party models or APIs into user-facing features, this role is likely not the right fit. Responsibilities Data-led discovery: Identify and size ML opportunities by going into the data yourself. Diagnose where the marketplace is losing value (supply-demand imbalance, cancellations, ETA error, fraud losses, default rates) and translate it into a prioritised, quantified problem backlog. Problem framing: Turn business problems into well-posed ML problems: define the prediction target, the decision it informs, the unit of analysis, label availability and quality, and the cost of different error types. Know when a problem does not need ML and a rule or heuristic will do. Metrics and success criteria: Define the chain from model metrics (e.g. precision/recall, calibration, MAE) to product and business metrics, and own guardrail metrics. Understand why offline gains often fail to translate online, and plan for it. Experimentation and causal inference: Design and interpret controlled experiments, including in two-sided marketplace settings where interference makes standard A/B tests unreliable (switchback, geo or cluster-randomised designs). Reason about statistical power, novelty effects and heterogeneous impact across cities and segments. Distinguish correlation from causation, and know which quasi-experimental methods to use when randomisation isn't possible. ML product lifecycle: Own models from framing through data requirements, baseline, iteration, launch, monitoring and retirement. Partner with engineering on rollout strategy, model monitoring, drift detection, retraining cadence and failure modes. Treat a model in production as a product that degrades if unattended. Roadmap and trade-offs: Own the ML product roadmap across domains and countries. Make explicit trade-offs between accuracy, latency, cost, interpretability, fairness and regulatory requirements, especially in credit and financial services. Stakeholder alignment and visibility: Make the impact of ML work legible to non-technical leadership. Communicate results, including null and negative results, with rigour and clarity. Align product, operations, risk and marketing partners on shared objectives. Leadership and culture: Raise the bar on how the organisation makes decisions with data. Mentor peers, build a culture of feedback and trust, and invest in your own growth and that of those around you. Requirements 4+ years of product management experience, including at least 2 years owning ML-driven products that run in production and influence core business decisions (e.g. pricing, matching, ranking, forecasting, fraud, credit risk, recommendations). Hands-on fluency with data: you can write SQL, explore data independently and challenge an analysis without waiting for someone else to run it. Demonstrated experience designing, running and interpreting controlled experiments, and a solid working understanding of causal inference. Strong understanding of core ML concepts: supervised learning, evaluation metrics and their trade-offs, overfitting and leakage, bias, calibration, and the relationship between offline and online performance. A track record of shipping ML products where you can clearly articulate the problem framing, the metrics chosen, the experiment design and the measured business impact, including what went wrong. Experience working with distributed or remote teams across multiple markets. Experience in marketplaces, mobility, on-demand delivery or fintech is a strong plus. BSc/MSc in Engineering, Computer Science, Statistics, Data Science or a related quantitative field.

Location: Malmö About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Team: Do you have a passion for large-scale cloud systems, graph technology, and robust system design? Are you eager to build scalable infrastructure while creating seamless developer experiences? Here at Neo4j, we are building a high-performance cloud platform for graph algorithms and machine learning to help the world make sense of data—from detecting financial fraud and driving real-time recommendations to powering cutting-edge knowledge graphs. As a Developer on our team, you will sit at the intersection of our entire platform ecosystem. You will gain hands-on experience bridging cloud infrastructure, robust backend services, and user-facing client code. In this role, you will actively contribute to: Telemetry & User Observability: Building tools and metrics that give users clear insights into platform health and job execution. Data Transfer & Performance: Optimizing pipelines for seamless data ingestion and streaming between client environments and our cloud backend. Developer UX Improvements: Refining client interfaces and integration points to ensure our platform is intuitive, fast, and easy to adopt. This is an opportunity to directly impact the tools our global customer base relies on every day, working alongside a supportive team that will help you sharpen your skills across the full technology stack. What You'll do: Improve Neo4j’s Graph Data Science platform, focusing on its integrations in Neo4j Aura Write new features that bridge the gap between on-premise and cloud solutions Write Java, Go and Python code with a strong focus on usability, efficiency, and scalability Work on and improve the observability of our cloud systems Work in a highly collaborative and friendly team of skilled and motivated engineers Identify and integrate new areas of research that can solve our customers’ most difficult problems Partner with software engineers from other teams in Neo4j to ensure interoperability with the core database What You'll Bring: Interest in JVM languages or system programming languages, such as C, C++, Rust and willingness to learn Java, Go, Python Interest or Experience in Kubernetes and cloud computing Familiarity with graph theory Creativity and motivation to drive your own ideas Willingness to work in a distributed and remote-first team Master's degree in Computer Science or another related field or 3+ years of professional experience as a software engineer #Li-Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Location: London About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Team: Do you have a passion for large-scale cloud systems, graph technology, and robust system design? Are you eager to build scalable infrastructure while creating seamless developer experiences? Here at Neo4j, we are building a high-performance cloud platform for graph algorithms and machine learning to help the world make sense of data—from detecting financial fraud and driving real-time recommendations to powering cutting-edge knowledge graphs. As a Developer on our team, you will sit at the intersection of our entire platform ecosystem. You will gain hands-on experience bridging cloud infrastructure, robust backend services, and user-facing client code. In this role, you will actively contribute to: Telemetry & User Observability: Building tools and metrics that give users clear insights into platform health and job execution. Data Transfer & Performance: Optimizing pipelines for seamless data ingestion and streaming between client environments and our cloud backend. Developer UX Improvements: Refining client interfaces and integration points to ensure our platform is intuitive, fast, and easy to adopt. This is an opportunity to directly impact the tools our global customer base relies on every day, working alongside a supportive team that will help you sharpen your skills across the full technology stack. What You'll do: Improve Neo4j’s Graph Data Science platform, focusing on its integrations in Neo4j Aura Write new features that bridge the gap between on-premise and cloud solutions Write Java, Go and Python code with a strong focus on usability, efficiency, and scalability Work on and improve the observability of our cloud systems Work in a highly collaborative and friendly team of skilled and motivated engineers Identify and integrate new areas of research that can solve our customers’ most difficult problems Partner with software engineers from other teams in Neo4j to ensure interoperability with the core database What You'll Bring: Interest in JVM languages or system programming languages, such as C, C++, Rust and willingness to learn Java, Go, Python Interest or Experience in Kubernetes and cloud computing Familiarity with graph theory Creativity and motivation to drive your own ideas Willingness to work in a distributed and remote-first team Master's degree in Computer Science or another related field or 3+ years of professional experience as a software engineer #Li-Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Location: Palo Alto, United States 📍 Location: Palo Alto, CA 📄 Employment Type: Contract 🏢 Work Arrangement: On-site 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Important Screening Requirements 5+ years of experience in post-silicon characterization, high-speed I/O (HSIO) validation, or memory electrical validation. Hands-on experience characterizing high-speed SerDes PHYs , particularly PCIe. Experience measuring eye diagrams, jitter, bit error rate (BER), and S-parameters . Proficiency with high-speed oscilloscopes, bit error rate testers (BERT), and VNA/TDR equipment. Ability to read and interpret schematics and PCB layouts. Experience debugging electrical issues directly at the probe point. Python scripting experience for laboratory test automation. Background in semiconductor, silicon, or systems companies, including SoC, GPU, networking, storage, or automotive compute. Must be willing to work on-site in Palo Alto, CA . About the Role We are seeking a hands-on PCIe Characterization Engineer to perform post-silicon electrical characterization and validation of high-speed SerDes physical-layer interfaces in a laboratory environment. The role focuses on conducting high-speed electrical measurements, analyzing signal integrity, and validating silicon performance. You will independently operate laboratory equipment, troubleshoot signal-level issues, interpret hardware schematics and PCB layouts, and automate characterization workflows using Python. The successful candidate will have direct experience with high-speed interface characterization and the practical skills needed to investigate electrical performance issues at the measurement and probe points. What We’re Looking For We’re looking for an experienced post-silicon characterization or HSIO validation engineer with strong hands-on laboratory skills and practical knowledge of high-speed electrical measurements. The ideal candidate can independently perform eye, jitter, BER, and S-parameter measurements; operate high-speed test equipment; interpret schematics and layouts; and troubleshoot signal integrity issues directly in the lab. Strong candidates will combine experience with PCIe and SerDes interfaces, high-speed measurement instrumentation, electrical debugging, and Python-based lab automation . Key Responsibilities Post-Silicon Characterization & Validation Perform post-silicon electrical characterization of high-speed SerDes PHYs, including: PCIe Ethernet UFS LPDDR5 Support high-speed interface validation and investigate electrical performance issues. Analyze characterization results to assess high-speed interface performance. Identify and troubleshoot signal-level issues during testing. High-Speed Electrical Measurements Conduct eye diagram, jitter, bit error rate (BER), and S-parameter measurements . Independently operate laboratory measurement equipment, including: High-speed oscilloscopes Bit error rate testers (BERT) Vector network analyzers (VNA) Time-domain reflectometry (TDR) equipment Analyze measurement data to evaluate electrical performance and signal integrity. Document test configurations, measurement results, and characterization findings. Schematic Analysis & Electrical Debugging Read and interpret electrical schematics and PCB layouts to support characterization activities. Troubleshoot signal integrity and electrical issues directly at probe points. Investigate measurement anomalies and high-speed interface performance problems. Apply practical electrical measurement and debugging techniques to identify potential issues. Python Lab Automation Develop and maintain Python scripts to automate laboratory measurements and characterization workflows. Support repeatable and efficient execution of electrical tests. Improve laboratory testing efficiency through reusable automation scripts. Assist with measurement data collection, analysis, and documentation. Cross-Functional Validation Support Support high-speed interface validation activities across relevant silicon and systems platforms. Collaborate with engineering teams to investigate electrical performance issues. Communicate measurement findings, debugging results, and characterization progress. Maintain clear technical documentation of test procedures, configurations, and results. Required Qualifications 5+ years of experience in post-silicon characterization, HSIO validation, or memory electrical validation. Experience working at a semiconductor, silicon, or systems company in areas such as SoC, GPU, networking, storage, or automotive compute. Hands-on experience with high-speed SerDes PHY characterization. Practical experience measuring eye diagrams, jitter, BER, and S-parameters. Proficiency using high-speed oscilloscopes, BERT, and VNA/TDR equipment. Experience reading and interpreting schematics and PCB layouts. Strong laboratory debugging and electrical measurement skills. Python scripting experience for test and measurement automation. Strong analytical, troubleshooting, and problem-solving abilities. Willingness to work on-site in Palo Alto, CA. Preferred Qualifications Experience with PCIe electrical characterization and validation . Exposure to Ethernet, UFS, or LPDDR5 interfaces. Experience with high-speed signal integrity measurements and analysis. Background in silicon validation for SoC, GPU, networking, storage, or automotive-compute products. Experience developing reusable automation scripts and improving laboratory test efficiency.

Location: Palo Alto, United States We’re looking for an experienced engineer to perform post-silicon electrical characterization and validation of high-speed interfaces, including PCIe, Ethernet, UFS, and LPDDR5. Requirements: 5+ years of experience in post-silicon characterization, HSIO validation, or memory electrical validation. Hands-on experience with eye, jitter, BER, and S-parameter measurements. Experience using high-speed oscilloscopes, BERT, VNA, and TDR equipment. Ability to read schematics and PCB layouts and debug issues at the probe level. Python scripting for lab automation. Experience at a semiconductor or systems company preferred.

Location: United States Location: Palo Alto, CA (On-site) Job Type: Contract Job Overview We are seeking an experienced PCIe Characterization Engineer to perform post-silicon electrical characterization and validation of high-speed SerDes PHYs. This role involves hands-on laboratory testing, electrical measurement, signal integrity analysis, and debugging of high-speed interfaces across PCIe, Ethernet, UFS, and LPDDR5 technologies. The ideal candidate has a strong background in post-silicon characterization or high-speed I/O (HSIO) validation, with practical experience using advanced lab equipment and developing Python scripts for test automation. Key Responsibilities Perform post-silicon electrical characterization of high-speed SerDes PHYs and memory interfaces. Conduct eye diagram, jitter, bit error rate (BER), and S-parameter measurements. Operate high-speed oscilloscopes, bit error rate testers (BERT), vector network analyzers (VNA), and TDR equipment. Analyze schematics and PCB layouts to identify signal integrity issues and support electrical debugging. Perform hands-on troubleshooting and debug at the probe point to isolate and resolve hardware-level issues. Develop and maintain Python scripts for laboratory test automation, data collection, and analysis. Analyze characterization results, document findings, and collaborate with cross-functional engineering teams to improve interface performance. Support validation activities for high-speed interfaces, including PCIe, Ethernet, UFS, and LPDDR5. Required Qualifications 5+ years of experience in post-silicon characterization, HSIO validation, SerDes validation, or memory electrical validation. Hands-on experience characterizing high-speed electrical interfaces in a semiconductor or systems engineering environment. Proficiency with high-speed oscilloscopes, BERT, VNA, and/or TDR measurement equipment. Practical experience measuring and analyzing eye diagrams, jitter, BER, and S-parameters. Ability to read and interpret schematics and PCB layouts for hardware-level debugging. Experience with Python scripting for laboratory automation and test data analysis. Strong troubleshooting, analytical, and problem-solving skills. Ability to work on-site in Palo Alto, California. Preferred Qualifications Experience with PCIe, Ethernet, UFS, LPDDR5, or other high-speed SerDes and memory interfaces. Background working with SoCs, GPUs, networking hardware, storage systems, or automotive computing platforms. Experience with signal integrity analysis and post-silicon hardware validation. Previous experience in semiconductor, silicon design, or systems companies. Ideal Candidate Profile Candidates with titles such as PCIe Characterization Engineer, Signal Integrity Engineer, HSIO Validation Engineer, Post-Silicon Validation Engineer, or SerDes Validation Engineer are encouraged to apply. Candidates currently based in the San Francisco Bay Area are strongly preferred due to the on-site nature of the position.

Location: San Francisco, CA; New York, NY; Toronto Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU’LL DO - Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. - Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. - Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency. - Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product. EXAMPLE PROJECTS These are some examples of projects that engineers on our team have worked on recently: - Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn - Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations - Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services! - Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development - Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers WHAT YOU'LL BRING - Language fluency - professional fluency in both Spanish and English - Experience building and scaling end-to-end production systems - Strong technical problem-solving skills, especially in fast-changing, ambiguous environments - A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship - Comfort working directly with customers to understand their needs and solve real-world problems - Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences EVEN BETTER... - Experience building or deploying AI/LLM systems in production - Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed - Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering - Prior experience with React, TypeScript, and/or Go - Previous roles where you interfaced with customers or led technical projects with external stakeholders OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Cairo, Egypt; Alexandria, Egypt Workplace: hybrid About Yassir:   Yassir is the leading super app in the Maghreb region, set on changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia, with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (~$200M in funding) by VCs from Silicon Valley, Europe and other parts of the world. We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. We're helping usher the continent into a digital economy era, not just by serving people, but by building a marketplace that brings people what they need while infusing social values. About the Role Yassir's marketplace runs on decisions made millions of times a day: which driver gets which trip, what a ride should cost, when an order will arrive, which transaction looks fraudulent, who qualifies for credit. We are looking for a Product Manager who owns the machine learning systems behind those decisions and is accountable for their measurable impact on the business. This is a product role for ML-heavy, data-intensive products. You will lead discovery from data rather than from opinion, frame business problems as problems a model can actually solve, define what success means both offline and in production, and prove impact through well-designed experiments. You will work closely with data scientists, ML engineers and data engineers, and with product and operations partners across ride-hailing, delivery and financial services. What This Role Is (and Isn't) This role centres on predictive and decisioning ML: ranking, matching, forecasting, pricing, risk and personalisation. Experience building LLM or agentic features is welcome, but it is not a substitute for the fundamentals below. If your ML product experience is primarily integrating third-party models or APIs into user-facing features, this role is likely not the right fit. Responsibilities Data-led discovery: Identify and size ML opportunities by going into the data yourself. Diagnose where the marketplace is losing value (supply-demand imbalance, cancellations, ETA error, fraud losses, default rates) and translate it into a prioritised, quantified problem backlog. Problem framing: Turn business problems into well-posed ML problems: define the prediction target, the decision it informs, the unit of analysis, label availability and quality, and the cost of different error types. Know when a problem does not need ML and a rule or heuristic will do. Metrics and success criteria: Define the chain from model metrics (e.g. precision/recall, calibration, MAE) to product and business metrics, and own guardrail metrics. Understand why offline gains often fail to translate online, and plan for it. Experimentation and causal inference: Design and interpret controlled experiments, including in two-sided marketplace settings where interference makes standard A/B tests unreliable (switchback, geo or cluster-randomised designs). Reason about statistical power, novelty effects and heterogeneous impact across cities and segments. Distinguish correlation from causation, and know which quasi-experimental methods to use when randomisation isn't possible. ML product lifecycle: Own models from framing through data requirements, baseline, iteration, launch, monitoring and retirement. Partner with engineering on rollout strategy, model monitoring, drift detection, retraining cadence and failure modes. Treat a model in production as a product that degrades if unattended. Roadmap and trade-offs: Own the ML product roadmap across domains and countries. Make explicit trade-offs between accuracy, latency, cost, interpretability, fairness and regulatory requirements, especially in credit and financial services. Stakeholder alignment and visibility: Make the impact of ML work legible to non-technical leadership. Communicate results, including null and negative results, with rigour and clarity. Align product, operations, risk and marketing partners on shared objectives. Leadership and culture: Raise the bar on how the organisation makes decisions with data. Mentor peers, build a culture of feedback and trust, and invest in your own growth and that of those around you. Requirements 4+ years of product management experience, including at least 2 years owning ML-driven products that run in production and influence core business decisions (e.g. pricing, matching, ranking, forecasting, fraud, credit risk, recommendations). Hands-on fluency with data: you can write SQL, explore data independently and challenge an analysis without waiting for someone else to run it. Demonstrated experience designing, running and interpreting controlled experiments, and a solid working understanding of causal inference. Strong understanding of core ML concepts: supervised learning, evaluation metrics and their trade-offs, overfitting and leakage, bias, calibration, and the relationship between offline and online performance. A track record of shipping ML products where you can clearly articulate the problem framing, the metrics chosen, the experiment design and the measured business impact, including what went wrong. Experience working with distributed or remote teams across multiple markets. Experience in marketplaces, mobility, on-demand delivery or fintech is a strong plus. BSc/MSc in Engineering, Computer Science, Statistics, Data Science or a related quantitative field.

Location: Algiers, Algeria Workplace: hybrid Yassir is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (~$200M in funding) by VCs from Silicon Valley, Europe and other parts of the world. We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values. About the role We are looking for a senior Android developer to join our tech hub and support our growth and expansion. You will be part of the engineering team, working with a high-quality code base and the latest tools, where you will promote your skills to be an expert in complex frontend development in Android. Your primary focus will be the development of mobile applications and their integration with back-end services. You will be working alongside other engineers and developers working on different layers of the infrastructure. About your role as "Mobile Android Engineer" Design and build mobile applications for Android Ensure the performance, quality, and responsiveness of applications Collaborate with a team to define, design, and ship new features Identify and correct bottlenecks and fix bugs Help maintain code quality, organization, and automatization Participate in brainstorming sessions and contribute ideas to our technology, algorithms, and products. Work with the engineering and design teams to understand end-user requirements, formulate use cases, and then translate that into a pragmatic and effective technical solution Dive into difficult problems and successfully deliver results on schedule About your experience Must have technical skills A minimum of 4 years of experience in developing Android Apps. Language: Android, Kotlin Familiarity with cloud message APIs and push notification Web architecture: Rest and restful APIs, micro-services Version control: GIT Nice to have technical skills (Strongly advised) Containers: Docker, Kubernetes Caching, Redis server Scaling, Web load balancing Experience in a rapidly growing company in the mobility, on-demand, or fintech space is a plus BSc/MSc in Engineering, Computer Science, or relevant field At Yassir, we believe in the power of diversity and the importance of an inclusive culture. So, if you're ready to bring your unique perspective and experiences to the table, then we're excited to listen. Don't just apply for a job, come and be a part of our journey. Let's create a better tomorrow together. We look forward to receiving your application! Best of luck, Your Yassir TA Team

Location: Alpharetta, GA Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. Our mission is to be #1 by creating a better life for our customers. At LG Electronics, we make products and services that make lives better, easier, and happier through increased functionality and fun. Put simply, we offer the latest innovations to make “Life Good”! – from home appliances, consumer electronics, vehicle components and mobile communications to business innovations in digital signage, air conditioning, solar and LED lighting. As a global leader, we strive for greatness not only in the products we make but in our people. We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work and create value. At LG, you are encouraged to take a creative and individual approach to challenges with strong emphasis placed on performance and skill—and equal, merit-based opportunities across the board. We want our colleagues to grow with our global business. That is why we deliver sure rewards for exceptional performance and offer industry-leading benefits. Come join the team! Be with the Industry Innovation Leader What we can offer you: Culture for Growth | Top Notch Employee Health & Well Being Benefits | Every Voice Matters | Global Reach We are currently seeking a VP Chiller Sales, Engineering & Aftermarket, Data Centers. This role is a home office-based role with proximity to a hub Airport for travel purposes. (Preferred: Major Data Center Markets such as Northern Virginia, Dallas, Phoenix, Atlanta, Chicago, Silicon Valley, or Remote) Position Overview: The Vice President, Chiller Sales, Engineering & Aftermarket is responsible for leading the overall commercial strategy, sales execution, engineering support, and business development initiatives for the company's data center cooling solutions business across North America. This executive role will report directly to the Senior Vice President and drive growth through strategic customer engagement, market expansion, technical leadership, and organizational development within the rapidly evolving hyperscale, colocation, enterprise, and AI data center sectors. The VP will be accountable for developing and executing a comprehensive strategy that positions the organization as a trusted cooling solutions provider for mission-critical facilities. This includes direct engagement with hyperscale operators, colocation providers, engineering consultants, design-build firms, EPC contractors, and mechanical contractors involved in data center development. This role requires a unique combination of executive leadership, deep technical expertise in chiller and cooling systems, strategic sales capability, and strong relationships throughout the data center ecosystem. Essential Duties and Responsibilities: 1. Strategic Leadership Develop and execute a long-term strategy for the data center cooling business. Establish annual and multi-year revenue, margin, and market share objectives. Identify emerging opportunities within hyperscale, colocation, enterprise, and AI data center markets. Lead strategic planning and business expansion initiatives. Develop executive-level relationships with key customers and industry stakeholders. Monitor market trends, competitive activity, and technology developments. Lead all sales functions associated with data center cooling solutions. Achieve annual bookings, revenue, profitability, and market share objectives. Develop strategic account plans for major customers. Direct sales efforts involving: Hyperscale Operators, Colocation Providers, Cloud Service Providers, etc. Lead executive negotiations on major projects and strategic agreements. Improve sales effectiveness through process optimization, forecasting, and pipeline management. 2. Engineering & Technical Leadership: Provide executive leadership for all customer-facing engineering activities. Develop and maintain strategic relationships throughout the mission-critical ecosystem. Represent the organization at major conferences, trade shows, and industry associations while enhancing brand awareness and customer engagement. Partner with Product Management to influence future product roadmaps. Provide voice-of-customer feedback. Identify opportunities for product enhancement and innovation. 3. Project Management & Aftermarket: Provide executive leadership for project management and aftermarket teams Develop effective strategies to route products from factories to job-sites Create detailed aftermarket and parts programs that meet critical timing criteria Align with third -party technical support to provide seamless factor support 4. Data Center Market Development: Development strategic relationships with owners, developers, consultants, design firms, etc. Build deep market intelligence with AI data centers, high density computing, liquid cooling, etc. Represent LG at major industry events. 5. Product and Technology Alignment: Partner with Product Management to define future product roadmaps. Influence development of new products Provide direct voice-of-customer feedback. Ensure products align with evolving data center standards. 6. Organizational Leadership Build and develop a high-performing organization. Recruit, coach, mentor, and retain top talent. Establish succession planning initiatives. Foster collaboration across all functional groups. Promote a culture focused on accountability, innovation, and customer success. Key Qualifications Minimum 15 years of HVAC, applied equipment, or building systems experience. Minimum 10 years of progressive leadership experience. Bachelor’s degree in mechanical engineering strongly preferred. MBA strongly preferred. Professional Engineering (PE) license preferred. Proven record leading national sales organizations. Experience managing multi-million-dollar revenue businesses. Strong background in chiller systems and applied HVAC solutions. Demonstrated success developing executive-level customer relationships. Knowledge of data center infrastructure, including: Direct data center industry experience. Experience selling to hyperscale customers. Experience supporting mission-critical facilities. Experience leading both sales and engineering functions. Experience with large-scale infrastructure projects. #LI-DB2 Recruiting Range $250,000 — $325,000 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Location: Home based - Worldwide Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We are hiring 2025 and 2026 Graduate Software Engineers into engineering teams around the world. As a global platform company we offer a wide range of software engineering challenges, in both open source products and commercial business systems. We have teams that work in a variety of languages, typically Python, Golang, Rust, C/C++, JavaScript and of course... Bash. We work from the very lowest levels of the Linux system - BIOS and boot loaders, firmware, kernel and drivers, all the way up to desktop applications and containers. We work on tiny devices like the Raspberry Pi and new RISC-V boards, all the way up to supercomputers, clouds and Kubernetes clusters. We work on compilers and toolchains, and we work on security, cryptography, performance and documentation. Some of our teams focus on packaging thousands of pieces of software, others focus on deep contributions to a single body of code. If you are excited about the potential that open source has for humanity and the enterprise, you have outstanding results in your academic career, and you are excited to contribute to the open source stack, this is the best way to apply to Canonical. We will work with you to identify teams and projects that would be interesting and a good fit for your skills and motivations. The process is highly competitive, it will require effort and excellence to succeed if you apply here. Most of our engineering teams work from home. We try to align a single team in a single time zone - EMEA (Europe, Middle East and Africa), APAC (Asia Pacific and Indian Ocean), and AMER (North, South and Central Americas). Even though you work from home, we try to ensure you always have colleagues alongside to coach and mentor you, and for the companionship of shared problem solving and pair programming. Larger projects have multiple teams and might span the globe. We work with the open source community and specialize in building teams that work well in the 'fishbowl' of open source engineering. This is full time work, five days a week, often solving hard problems with significant responsibility. We don't generally work weekends and nights and we do enjoy good holidays but we also expect productive and intense engagement Monday to Friday. We bring all our engineering teams together in person twice a year for a deep 'sprint' with other teams to stimulate discussion and enable a wide range of career development paths. This is a fantastic way to demonstrate and develop your skill in software, learn about a wide range of technologies, make a meaningful impact to open source, and see some very interesting new cities that you might never otherwise get to visit. If you find the open source stack amazing, and you have been a consistent high-performing student in your school and university, then this will be a challenging and exciting start to your career. Location: This is a Globally remote role. The role entails Shaping the roadmap for your product at global sprints every six months Focusing on design and user experience, even for developer tooling and command line apps Writing high quality, resilient and performant code, potentially serving millions of demanding daily users Working towards mastery of key programming languages and Linux system knowledge Engaging with users and the open source community through code reviews and issue trackers Responding to customer issues as a priority, develop an understanding of enterprise requirements Developing skills and awareness of security in software design and implementation What we are looking for in you Exceptional academic track record from both high school and university Undergraduate degree in Computer Science, Business Informatics, Mathematics or another STEM discipline with programming courses Confidence to get started and deliver high quality code in one of Python, Rust, C/C++, Golang, JavaScript or Java Experience with Ubuntu or another Linux distribution Track record of going above-and-beyond expectations to achieve outstanding results Result-oriented and organized, with the drive to meet commitments Personal projects in technology and software engineering beyond the curriculum Professional written and spoken English Excellent interpersonal skills, curiosity, flexibility, and accountability Personal responsibility and accountability Thoughtfulness, self-awareness and the ability to reflect and develop Ability to travel internationally twice a year for company events up to two weeks long Nice-to-have skills Upstream open source contributions Packaging and Linux distribution contributions - Debian, Fedora, Arch, Nix or another Leadership and organization skills Presentation and writing skills Business and commercial interests What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long-haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Home Based - Americas; Home based - EMEA; Office Based - London, UK We are hiring for the Head of Financial Planning & Analysis , to lead the global FP&A Teams and be a leader within the wider finance team. You will play a key part leading our monthly business reviews and forecasting, annual planning, and continuously drive cross-functional business alignment, as well as develop the long term roadmap for the FP&A team. Our ideal candidate is a highly analytical independent thinker, who has a proven record of leading a team to use data analysis to advise on critical financial, commercial and strategic decisions. Our business opportunity is significant; we can deliver both infrastructure and business applications to the enterprise market. As companies refresh their data centers, our goal is to be the platform for cloud and apps. As they re-architect their business applications to embrace open source, our goal is to deliver the majority of their databases, analytics, messaging, publishing, identity, security, workflow... everything that is open source. We are committed to do that at the most efficient price points possible to drive down the total cost of IT, but this is nevertheless a significant global market, and our ambition is to be counted among the most valued software suppliers to the Global 10,000. Location: This is a remote role in AMER or EMEA time zones, with the option to be based in our London office. The role entails Develop executive reporting dashboards and documents including Board reporting, monthly financial results and other management presentations Analyse & Report monthly results, leading indicators and KPIs to support monthly forecasting and annual plan attainment Provide commercial analysis, develop growth targets, and evaluate strategic initiatives Work with product managers to produce, aggregate, and distribute both market insights and competitive intelligence Manage financial models, including budgeting, forecasting, and long range planning Drive improvements in data analysis, and determine the appropriate processes, methodologies, and modeling techniques to deliver insights. Partner with Accounting and Investor Relations to support month end close, flux review processes, and financial reporting Drive multi-functional change projects designed to enhance systems, processes, and data accuracy Play a key role in preparation of critical public financial documents to support an IPO process, including supporting the production of investor materials and public filings Guide the annual FP&A activity calendar to provide decision support to the executive team Mentor colleagues within the FP&A team, as well as peer teams Control costs via methodical reviews of department spend, procurement strategies, and business wide process efficiency What we are looking for in you An exceptional academic track record Experience and a deeply rooted passion to lead successful team members, and aid in their career growth Have operated in a high growth, multi currency/geography technology business with a mixed go-to-market motion Strong problem-solving and analytical abilities Highest ethical standards, integrity, authenticity, credibility, and character Curiosity and willingness to work on a wide range of projects Proficiency in spreadsheets, financial modeling, and BI tools Understanding of core accounting principles Professional written and spoken English Excellent interpersonal skills, curiosity, flexibility, and accountability Passionate, thoughtful, and self-motivated Result-oriented, with a personal drive to meet and exceed commitments International travel 2-4 times a year for company events up to two weeks long Nice-to-have skills MBA or equivalent combination of professional certifications and experience Previous experience as a subject matter expert in Financial Planning & Analysis Experience with Business Intelligence reporting, CRM and ERP systems What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We assess performance and revisit compensation twice annually to ensure we recognize outstanding colleagues. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Bi-annual compensation review Company recognition rewards 40 days annual leave per annum, including public holidays and our All Company holiday periods Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues, with Priority Pass for lounge access About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. We are founder-led, profitable, and growing. Powered by worldwide distributed collaboration since our inception in 2004, we believe tech and business leadership can emerge anywhere. We have no central headquarters. Most of us work from home, but we are exceptionally disciplined about this. We have very high expectations of all colleagues, and are champions of excellence. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Location: Algiers, Algeria Workplace: onsite Yassir is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (~$200M in funding) by VCs from Silicon Valley, Europe and other parts of the world. We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values. Role Summary Owns end-to-end pricing strategy across markets, leads benchmark and pricing model design, and partners with Product, Data team, and Operations to maximize revenue per trip while balancing supply-demand health. Mentors junior specialists and drives cross-functional pricing initiatives. Core Responsibilities • Design and own tarification strategy , pricing models (time, zone, events, elasticity) • Lead A/B price experiments from hypothesis to statistically valid conclusions • Build revenue forecasting models and scenario planning frameworks • Conduct competitive benchmarking and market-level pricing calibration • Translate pricing logic into clear product requirements for Engineering • Mentor Pricing Specialists and review their analyses before delivery • Present pricing strategy (Mobility & LMD) and results to senior leadership, daily, weekly, monthly,..) Required Skills Data analysis Price Elasticity Modeling Revenue Optimization Looker / Tableau / Data Studio /BI/ Advanced Excel Stakeholder Communication Marketplace Dynamics Qualifications • 3+ years in pricing, revenue management, or quantitative analytics • Degree in Economics, Statistics, Mathematics, or Data science (Master's preferred) • Prior experience in ride-hailing, e-commerce, or marketplace platforms • Track record of leading cross-functional projects end-to-end At Yassir, we believe in the power of diversity and the importance of an inclusive culture. So, if you're ready to bring your unique perspective and experiences to the table, then we're excited to listen. Don't just apply for a job, come and be a part of our journey. Let's create a better tomorrow together. We look forward to receiving your application! Best of luck, Your Yassir TA Team