Вакансии

Задачи: — Анализ UX существующих решений и пользовательских сценариев Цифровой платформы (ЦПМ). — Проектирование интерфейсов личных кабинетов и цифровых сервисов биржи. — Создание UX/UI-концепций, интерактивных прототипов и макетов с использованием Pixso. — Внедрение искусственного интеллекта для анализа требований, генерации и проверки гипотез, ускорения проектирования и создания прототипов. — Взаимодействие с аналитиками, владельцами продуктов и разработчиками. — Сопровождение реализации и контроль качества интерфейсов. Требования: — Опыт работы в продуктовом UX/UI-дизайне не менее 3 лет, уровень Senior / Expert. — Навыки проектирования сложных веб-интерфейсов и пользовательских сценариев. — Способность самостоятельно вести задачи от анализа требований до передачи в разработку. — Уверенное владение Pixso, опыт работы с компонентами и дизайн-системами. — Практический опыт применения генеративного искусственного интеллекта в дизайне: анализ, генерация решений, прототипирование. — Опыт использования AI-инструментов для создания работающих интерактивных прототипов. — Сильное продуктовое мышление, понимание UX-исследований и принципов юзабилити. — Наличие портфолио с реализованными продуктами и описанием личного вклада. Условия: — Удалённая работа.

Location: Germany Workplace: Remote WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As Harvey scales its post-sales function across EMEA, we are hiring a Legal Engineer Manager - Product Specialist to lead and grow the Product Specialist team in Munich. This role was created to provide senior leadership and strategic direction to a team of Product Specialists who support existing customers in maximising their use of the Harvey platform. Harvey’s Legal Engineer - Product Specialists are experienced lawyers from top-tier firms who leverage their legal expertise to help customers seamlessly integrate Harvey into their daily workflows - driving adoption, increasing utilisation, and supporting long-term expansion and renewal. Legal Engineer - Product Specialists collaborate closely with Harvey’s Customer Success Managers to drive all facets of the post-sales strategy. They develop consultative relationships with law firm partners, associates, innovation teams, and in-house counsel, serving as trusted advisors on how Harvey’s AI solutions can enhance legal effectiveness and efficiency. Legal Engineer - Product Specialists draw on their legal training and practice experience to ask thoughtful questions, uncover adoption barriers, and develop tailored strategies that build credibility with customers. They partner with Customer Success Managers to communicate Harvey’s value through a mix of large group sessions, small workshops, and one-on-one conversations. WHAT YOU'LL DO - Lead and develop a team of Legal Engineers - Product Specialists in the DACH region, providing coaching, performance management, and career development support. - Own the post-implementation customer relationship from a legal engineering perspective, ensuring law firm and in-house clients are effectively onboarded, trained, and supported on an ongoing basis - Act as the senior escalation point for complex or strategic customer engagements, bringing deep product and legal expertise - Partner with Account Management and Sales to identify expansion opportunities, support renewals, and contribute to retention strategy - Collaborate with the Product team to surface customer feedback, advocate for platform improvements, and keep the team informed of new features and roadmap developments - Define and iterate on team processes, playbooks, and frameworks to build a scalable and high-performing function WHAT YOU HAVE - Qualified lawyer with 7+ PQE, with experience in a law firm or in-house legal environment - Prior experience managing or mentoring a team, with a track record of developing talent and driving performance - Deep familiarity with legal technology and AI tools, with an ability to quickly develop and demonstrate platform expertise - Strong commercial instincts and the ability to engage credibly with senior stakeholders at law firms and in-house legal teams - Excellent communication and presentation skills, with experience running training, workshops, or client-facing product sessions - Comfort operating in a fast-paced, high-growth environment with a pragmatic, solutions-oriented approach DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-LM1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Ищем Product Lead, который возьмёт на себя запуск с нуля серви...

Location: Toronto; Canada; United States Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ROLE OVERVIEW We're seeking a senior product leader to own Cohere's Inference as a Service business end to end. The product is sovereign, self-serve inference: a mid-market or enterprise buyer picks a model, a region and a GPU size, and is running the same afternoon with no procurement cycle and no infrastructure of their own. You'll decide which open-weights and first-party models we serve, in which regions and on which hardware, set the rate card they sell at, and carry the revenue and margin that follow from those calls. You own the platform around that endpoint as well, from the console and dashboards a customer administers their deployment through to the catalog of first-party and third-party models behind it. You'll set the strategy and run the execution, which means choosing where to spend across serving efficiency, the self-serve console and regional capacity when all three want the same budget, and shipping the deployment framework that removes infrastructure barriers while holding the line on data residency, compliance and operational confidence. You'll do that across engineering, serving, finance, legal and GTM without formal authority over most of it, and you'll be accountable for the outcome rather than for the roadmap. The timing is most of the opportunity. Every serious company is deciding where its models will run and what it costs to keep them running, serving demand is climbing faster than anyone can rack hardware for it, and very few of those buyers are willing to hand their data to an operator who can read it. We are starting this business from a standing start, with the models, the silicon and the encryption already in place and almost no one else able to offer the combination. You would be taking a product to market in the window where that advantage is still ours, building one of Cohere's major revenue lines from its first customer onward, and shaping how a generation of companies buys AI it can actually trust. RESPONSIBILITIES - Own the P&L for Inference as a Service: carry the revenue number, set the rate card, and keep blended margin above the floor as the catalog and the fleet grow. - Own the inference platform itself: the console and dashboards where customers see usage, spend, API keys, access control and attestation, and the value-add tooling that makes a managed endpoint worth more than a raw one. - Own the model inventory across first-party and third-party models: what enters the catalog, how it is grouped by provenance, what it is priced at, and when something is quantised, replaced or retired. - Set the roadmap and the investment case across serving efficiency, the self-serve surface and regional capacity, and make the call when those three compete for the same budget. - Build the commercial motion with GTM from the ground up: self-serve acquisition for the mid-market, a sales-led motion for enterprise, and the partnerships that monetise capacity we would otherwise leave idle. - Stay close to the market: talk to customers and developers about integration friction and unmet needs, track competitor pricing, catalogs and launches, and follow where models and hardware are heading, then turn that into a clear view of where we should place our bets and what it would take to win. - Define the metrics that tell us whether this is a business, including revenue, margin, win rate, time to first token and self-serve share, and lead the work that moves them. - Partner with engineering, research, legal, finance, technical writing and developer relations to ship the platform and clear the licensing, pricing and capacity decisions behind it. - Represent the business to the executive team with a recommendation, the evidence behind it and the trade-off it implies. REQUIREMENTS - 10+ years of product management experience, including meaningful time owning a B2B infrastructure or platform product at the scope of a business rather than a feature area. - Experience operating in a GM-like capacity: you have carried a revenue line or a P&L, set pricing, and been held to margin as well as to shipping. - Background at a neocloud such as Together AI, Baseten or Fireworks, or at a hyperscaler such as AWS, Azure, OCI or Google Cloud, with a working view of how inference capacity is priced, packaged and sold, and a point of view on where the segment goes next. - A track record of thinking about infrastructure as a product, with the ability to translate system-level capabilities into clearly differentiated, customer-facing features. - Entrepreneurial, with experience taking a new product to market and building the commercial motion around it rather than inheriting one. - Experience with deployment models such as multi-tenant and dedicated infrastructure, and ownership across the full product lifecycle, from problem definition through launch, iteration and eventual migration or deprecation. - Analytical by default: you define success metrics before you build, instrument thoughtfully, and use data alongside qualitative feedback to make decisions. - Able to set direction and earn alignment across engineering, infrastructure, finance, legal and GTM without formal authority, and to put a clear recommendation and its trade-offs in front of an executive audience. NICE-TO-HAVES - Experience owning a model serving or inference platform, including self-serve infrastructure and metered inference offerings. - Exposure to data residency, sovereignty, or regional compliance requirements as they apply to AI or cloud infrastructure products, particularly in the inference-as-a-service context. - Familiarity with the AI developer ecosystem and open standards, including orchestration frameworks such as LangChain and LlamaIndex, model serving frameworks such as vLLM, and an awareness of de facto interoperability standards and how they shape developer adoption and integration patterns for inference workloads. - Experience with GPU infrastructure and cloud deployment models across both neocloud and hyperscaler environments. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Задачи: — Определять стратегию продукта. — Работать над активацией и удержанием пользователей. — Заниматься рекламной монетизацией и проведением экспериментов. — Руководить продуктовой командой. Требования: — Наличие продуктовых кейсов с конкретными цифрами. — Опыт проведения аналитики когорт. — Опыт руководства продуктовой командой. Условия: — Полностью удалённый формат работы с гибким графиком.

Опыт в продуктовом управлении от 3 лет (Senior PM / Lead PM / Head of Product).

Location: Argentina; Brazil; Colombia Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are looking for a Product Data Scientist to partner closely with Credit Cards and Banking product teams, shaping product strategy and driving growth through rigorous analysis, experimentation, and applied machine learning. You’ll work alongside Product Managers, Engineers, and business stakeholders to identify opportunities, influence product decisions, and measure the impact of new features — from optimizing how consumers discover and compare financial products to developing predictive tools such as approval odds and personalized recommendations. This is a hands-on, highly analytical role for someone comfortable exploring complex data, challenging product assumptions, designing experiments, and translating insights into decisions that ship. WHAT YOU’LL DO Product strategy & growth - Partner with Product Managers and vertical leadership to identify, size, and prioritize growth opportunities across the consumer journey. - Establish metric frameworks — north-star metrics, funnel definitions, and performance drivers. - Lead deep-dive analyses to understand consumer behavior, friction points, and performance trends. - Translate ambiguous business questions into clear analytical approaches and actionable recommendations. Experimentation & applied data science - Own the full experimentation lifecycle — hypothesis development, test design, statistical analysis, and business impact measurement. - Develop predictive and statistical models that improve consumer experiences. - Collaborate with Product and Engineering teams to translate findings into consumer-facing features. Analytics practices & tooling - Use SQL, Python, Databricks, and BI tools to deliver analyses and reporting. - Build and maintain metric definitions, dashboards, and measurement frameworks. - Automate recurring analytical processes. - Communicate findings clearly to both technical and non-technical stakeholders. - Promote a data-driven product development culture across teams. REQUIRED SKILLS & EXPERIENCE - 3+ years of professional experience in data science, product analytics, or a related analytical discipline — with demonstrated experience influencing product decisions through data. - Strong proficiency in SQL and Python for data exploration, statistical analysis, automation, and predictive modeling. - Hands-on experience with Databricks for analytical workflows, data processing, or model development — required. - Proven experience designing, analyzing, and interpreting A/B tests, including statistical significance, power analysis, and common experimentation pitfalls. - Strong understanding of product analytics — funnel optimization, metric development, cohort analysis, and behavioral segmentation. - Working knowledge of applied statistics and machine learning techniques — regression, classification, propensity modeling, and/or causal inference. - Experience developing dashboards and automating analytical workflows using modern BI and data tools. - Excellent communication and collaboration skills — able to influence Product Managers, Engineers, and business stakeholders through data-backed recommendations. - Bachelor’s or advanced degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or a related quantitative discipline, or equivalent practical experience. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Задачи: — Формирование и реализация продуктовой стратегии кросс бордер-направления в B2B-направлении Uzum Global, определение roadmap и приоритетов развития. — Развитие Seller Experience для зарубежных продавцов: проработка сценариев регистрации, создания и управления товарами, работы в личном кабинете и взаимодействия с платформой. — Ответственность за проработку и запуск селлерской части MVP кросс бордер-направления: определение необходимого функционала, декомпозиция сложных процессов и выделение ключевых возможностей для первой версии и последующих улучшений. — Развитие логики конвертации валют в личном кабинете продавца: обеспечение корректного отображения цен товаров и расчет таможенных пошлин для зарубежных селлеров. — Проведение продуктового discovery, анализ потребностей продавцов и партнеров, выявление проблем и поиск точек роста бизнеса. — Управление полным циклом разработки — от идеи и проработки требований до запуска, анализа результатов и дальнейшего развития продукта. — Координация кросс-функциональных команд и внешних партнеров, управление зависимостями, сроками и ожиданиями стейкхолдеров. Требования: — Опыт работы Product Manager от 4 лет в селлерских продуктах. — Опыт развития продуктов для продавцов, маркетплейсов и сложных интеграционных решений. — Опыт в Cross Border будет преимуществом. — Умение самостоятельно формировать продуктовую стратегию, roadmap и управлять полным циклом разработки от discovery до delivery. — Опыт ведения сложных проектов с большим количеством зависимостей, взаимодействия с внешними командами и партнерами. — Умение декомпозировать сложные бизнес-процессы на отдельные продуктовые компоненты, определять приоритеты и выделять функциональность для MVP. Условия: — Удаленная работа из любой точки мира или офис в Ташкенте. — Возможность карьерного роста в инженерном или управленческом треке. — Регулярная оценка перформанса. — Конкурентная оплата на уровне топовых компаний российского рынка. — Обучение и развитие внутри компании и за её пределами (митапы, конференции, профессиональное обучение, публикации). — Поддержка в развитии личного бренда. — Комьюнити профессионалов. — ДМС в привязке к локации, обучение и другие бонусы. — Работа в команде с опытными коллегами из ведущих мировых компаний. — Карьерный рост зависит от результата, а не от стажа. — Предоставление современной техники для работы.

💎 Развивать депозиты и текущие счета end-to-end: анализировать клиентский путь и искать точки роста, вести конкурентный анализ, готовить бизнес-требования и постановки для IT, участвовать в тестировании и запуске фич, работать с аналитикой и продуктовыми показателями, заниматься цифровизацией процессов.

Location: Lisbon, Portugal At Catawiki, every day brings the extraordinary! Whether it’s Daniel Ricciardo’s Formula 1 Car , a Woolly Mammoth’s Skeleton , Lady Gaga's Jumpsuit or Usain Bolt’s running shoe , we encounter exceptional objects every day. We’re a one-of-a-kind marketplace for buying and selling special objects. Each week, more than 100,000 unique items are auctioned, all carefully curated by our passionate in-house experts. Having sold over 25 million unique objects, our mission is to become the world’s most popular destination for special objects. As a growing, diverse and sustainable scale-up, we proudly live by three core values. If these values resonate with you, we’d love to explore how you can join us. Taking ownership and driving impact Being open to change and feedback Being passionate about our mission and our customers. Your mission I’m Daniel Alonso and I recently joined as CPO at Catawiki, and I previously was CPO at Glovo. My mandate is to 10x Catawiki. For that, we are 10 Product Managers in the team, meaning every individual drives no less than 10% of our platform’s evolution. I am looking for a Principal Product Manager to lead the entire Customer Service. You will report to me and will have 1 PM directly reporting to you. We have many App reviews and Trustpilot reviews complaining about Customer Service and we want to solve that. At the same time we want to reduce the costs of tackling customer contacts. So, in summary the mission is simple: Provide response to our users (Buyers and Sellers) while lowering the costs. To achieve this, AI is your best friend. My expectation of you is that you are obsessed with the metric and the target we define every semester. From there, you have autonomy to determine the best set of initiatives to achieve it. The three core characteristics, I am looking for in this role are: Self-aware: I do not ask anyone to be perfect, but it is very important to me that you are self-aware of your weaknesses and humble enough to admit when something does not meet the bar. High IQ: The problem space requires deep thinking and I expect you to be able to come up with robust solutions to problems Strong communications: There are multiple stakeholders to manage, from engineering to data to the actual CS department. Hence, it is important that you are sharp in oral and written communications I take for granted that you have 5+ years of product management experience at a high stakes role. The role is based in Lisbon and is hybrid, 2 mandatory days in the office. Why You'll Love Working with Us Create a visible impact by working at scale in a global organisation serving millions of customers across 80+ categories. In our flat structure, every role has a broad scope and directly impacts both our customers and the business. Learn and grow through our Learning & Development initiatives, including clear development plans and mentorship programmes to support your career progression. A culture of connection defines us . We’re a passionate, diverse team of 800+ Catawikians representing 60+ nationalities. We foster an inclusive and queer-friendly environment where everyone is encouraged to bring their full self to work. Celebrate life’s moments with us. You’ll receive a €100 Catavoucher when you join, a €50 Catavoucher on your birthday, and an extra day off each year to “Pursue Your Passion ” . We also offer additional leave for key work anniversaries and important life events. Benefits may vary by location. Our Offices and Way of Working Our vibrant offices in Amsterdam and Lisbon are designed to inspire collaboration. Most Catawikians operate in a hybrid setup, combining office-based and remote work, with a minimum of two days per week in the office, unless a role is explicitly stated as fully remote or fully office-based. Interested? Apply with an English CV and Cover Letter. By applying, you agree to Catawiki’s Applicant Privacy Policy. If you’re excited about this role but don’t meet every requirement, we still encourage you to apply anyway. You may be just the right candidate for this or other roles. We may use artificial intelligence (AI) tools to support the review of your application. AI may help us assess how your experience matches the requirements of the role, but hiring decisions are always made by our recruitment team

С подтверждённым опытом создания и поддержки дизайн-систем для живых, масштабируемых продуктов.

Задачи: — Улучшать пользовательский путь от поиска события до целевого действия. — Анализировать метрики и вести изменения от гипотезы до оценки результата. — Вести переговоры с провайдерами по коммерческим условиям. Требования: — Опыт Product Manager в Sportsbook. — Понимание механик прематча, лайва и алгоритмов расчёта. — Опыт работы с дизайном и разработкой. — Английский B2+, русский — рабочий. Условия: — Офис в Баку, помощь с релокацией и компенсация жилья.

💎 Формировать продуктовую стратегию B2C и отвечать за рост активной платящей базы и выручки: вести discovery с интервью и прототипами, приоритизировать бэклог по impact и revenue, работать с маркетингом над lifecycle, реферальными и reward-механиками.

Задачи: — Формирование продуктовой стратегии. — Поиск точек роста активации, удержания и выручки. — Развитие рекламной и партнёрской монетизации. — Проведение экспериментов. — Управление продуктовой командой. Требования: — Опыт управления цифровыми продуктами и командой. — Наличие измеримых кейсов с описанием проблемы, действий и результатов. — Опыт работы с воронками, когортами, удержанием, экспериментами и юнит-экономикой. — Опыт работы с массовыми B2C-продуктами. — Знание мобильных приложений и рекламной монетизации будет преимуществом. Условия: — Полностью удалённый формат работы с гибким графиком.

Location: London Workplace: Hybrid ABOUT NIANTIC SPATIAL We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space. It can't yet reason about real places well enough for robots, field crews and AI agents to rely on it, and closing that gap will change how factories, power grids, cities and defense operations run. That's one of the biggest unsolved problems in AI, and it's the one we're solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That's why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world's most widely used maps. Now we're building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. ABOUT THE ROLE The Large Geospatial Model is Niantic Spatial's foundation model of the physical world. It learns from years of real-world captures of millions of places, and people, robots and AI agents use it to find out where they are, what is around them and what has changed. Each step up in scale has given the model capabilities it did not have before. The next problems are some of the hardest in AI: filling in the parts of a place no camera saw while marking what was inferred, measuring what changed between visits, and predicting what will change next. Customers already use the model in production. Energy companies use it to guide field crews to equipment on large industrial sites, defense partners use it for positioning where GPS is jammed or unavailable, and robotics companies train robots in metric-scale copies of the real sites they will work in. You will be the first product leader for the model and the data it learns from, reporting to the Chief Product Officer. You decide which capabilities it gains and in what order, the bar each release has to clear, and what data Niantic Spatial collects, licenses or partners for to get there. You set those priorities directly with the Chief Scientist and the London research team who train the model. If you have shipped a frontier language model, most of the job will be familiar: evals, data mix and release decisions. The job differs in two ways. Every output of this model can be scored against a measured real place, so its evals rest on ground truth. And its data is collected in the physical world, so choosing what to capture next is a product decision with a real cost. Experience in 3D or mapping is welcome but not required. By the end of your first year, research, engineering and the product leads for industrial, defense, robotics and platform customers work from one model roadmap that you own, each release ships against evals you wrote, and the model's newest capabilities are in customers' hands. WHAT YOU'LL DO - Own the Model Roadmap - Decide the order in which the Large Geospatial Model gains its next capabilities, from filling in unseen parts of a site to measuring and predicting change, based on what industrial, defense, robotics and platform customers will pay for. Turn customer problems into specific research requirements, and bring new research results to the product leads who sell into each market. - Set the Release Bar - Define the evals and acceptance criteria for each capability with the Real-World Test Lab, which measures model output against ground truth in real places. Decide whether each release ships or goes back for more data or training. - Own the Data Plan - Decide what data Niantic Spatial collects, buys, licenses or gets through partners, and set the product terms of those deals with Legal and Business Development. Set the curation, labeling, consent, privacy and training-rights requirements every dataset has to meet, and keep a record of which data went into each model version. - Turn Capabilities into Products - Decide when a new model capability is ready to become something customers buy, what it promises them, and how it reaches them through Niantic Spatial's products and platform. - Set the Long-Term Direction - Decide where the model goes over the next several years, as it moves from describing places as they are to tracking how they change and anticipating what comes next, and make the case for the research and data investment that takes. WHAT YOU'LL BRING - 8+ years in product management, including at least three years shipping a large model to users or customers. - Experience writing evals for a model and using them to decide when a release was ready. - Direct work on training data, such as setting a data mix, running labeling or human-feedback programs, or negotiating data licenses. - Enough depth in how large models are trained, post-trained and evaluated that researchers bring you into their technical decisions. Many strong candidates for this role were ML engineers or researchers before they moved into product. - Experience setting direction for research and engineering teams that did not report to you. - A bachelor's degree in computer science, engineering, or a related field, or equivalent experience. NICE TO HAVE - Experience in 3D computer vision, reconstruction, localization, mapping, geospatial data, robotics or autonomous systems. - An advanced degree in machine learning, computer vision, robotics, or a related field. - Experience with Gaussian splatting, neural fields or visual positioning systems. - Experience with government or defense requirements for data provenance and security. COMPENSATION & BENEFITS Base salary: Competitive market rate. Compensation also includes an annual bonus, equity, and a comprehensive benefits package. LOCATION & WORK MODEL This role is based in our London office, with three days per week in office. INCLUSIVE APPLICATION We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for. EQUAL OPPORTUNITY Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. CANDIDATE PRIVACY I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

If you thrive at the intersection of cutting-edge technology, commercial strategy, and storytelling, this is a pivotal role where you will own: • Positioning & Messaging: Define the narrative for advanced AI solutions.

— Создавать маркетинговые стратегии: от разработки позиционирования до запуска продуктов на рынок. — Работать с контентом и коммуникациями: формировать ключевые сообщения, готовить продающие материалы и участвовать в создании продуктовых Roadmap.

Задачи: — Определение продуктовой стратегии и приоритетов. — Организация работы продуктовой команды и согласование с разработкой, дизайном, маркетингом и продажами. — Рост активации, удержания и выручки студенческой аудитории. — Развитие рекламной и партнёрской монетизации. — Выстраивание экспериментов и аналитики. Требования: — Опыт управления цифровыми продуктами и продуктовой командой. — Наличие кейсов с измеримым результатом и оценкой эффекта. — Работа с удержанием, воронками, когортами, экспериментами и экономикой продукта. — Опыт работы с массовым продуктом, мобильными приложениями или сервисами для молодёжи будет преимуществом.