Location: Ukraine; Moldova; Latvia; Albania; North Macedonia; Slovakia; Malta; Croatia; Czech Republic; Slovenia; Romania; Spain; Turkey; Bulgaria; Kazakhstan; Poland; Hungary; Montenegro; Estonia; European Union; Cyprus; Lithuania; Greece; Serbia; Bosnia; Georgia
Workplace: Remote
ABOUT US
Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/
ABOUT THE ROLE
We are building a high-scale payment orchestration platform that helps businesses manage and optimize payments across multiple providers, regions, and products.
As the platform continues to grow, we are looking for an experienced Growth Marketing Lead to own its digital presence and build a scalable marketing engine around the product.
This is a highly hands-on role.
You will own the full journey from positioning and website → content and distribution → acquisition funnels → qualified pipeline.
We are looking for someone who has already worked in strong B2B SaaS, FinTech, Payments, DevTools, or other technical startups and understands how to market complex technology products to sophisticated audiences.
You should be comfortable operating independently and using AI, automation, and modern marketing tools to achieve the output normally expected from a broader marketing team.
KEY RESPONSIBILITIES
WEBSITE & CONVERSION
- Own the product website as a core acquisition and conversion channel.
- Continuously improve positioning, messaging, information architecture, and copy.
- Build and launch landing pages for products, use cases, industries, campaigns, and competitors.
- Improve visitor → lead → demo conversion through continuous experimentation.
- Run A/B tests and conversion-rate optimization initiatives.
- Analyze visitor behavior and identify funnel drop-offs.
- Maintain and update marketing pages independently using modern web, no-code, and AI tools.
- Work with product and engineering teams when deeper technical changes are required.
CONTENT & THOUGHT LEADERSHIP
- Build and operate the product’s content engine.
- Own the company blog, industry insights, guides, case studies, research, product content, and newsletters.
- Turn internal expertise from product, engineering, and payments teams into high-quality external content.
- Develop strong narratives around payment orchestration, payment performance, routing, retries, fraud, subscriptions, and related topics.
- Create content designed for both education and commercial intent.
- Repurpose strong ideas across multiple formats and distribution channels.
- Maintain a consistently high quality bar for messaging and content.
SOCIAL MEDIA & EXECUTIVE PRESENCE
- Own social media presence, with LinkedIn as the primary channel.
- Develop and execute a consistent company content strategy.
- Help build the public presence of company leadership and subject-matter experts.
- Create thought-leadership content for executives.
- Identify relevant industry conversations, trends, and opportunities for participation.
- Grow a relevant audience of payments, fintech, product, and technology decision-makers.
PR & INDUSTRY PRESENCE
- Build the product’s visibility within the global payments and FinTech ecosystem.
- Identify opportunities for media coverage, expert commentary, interviews, podcasts, newsletters, and industry publications.
- Build relationships with relevant journalists, creators, communities, and industry platforms.
- Identify conferences, panels, webinars, awards, rankings, and partnership opportunities.
- Position the company and its leadership as credible voices in payment orchestration and payment infrastructure.
- Track competitor narratives and proactively identify opportunities to enter relevant industry conversations.
SEO & AI DISCOVERY
- Own the organic acquisition strategy.
- Perform keyword, competitor, and search-intent research.
- Build content clusters around high-value payment topics.
- Create high-intent commercial and competitor pages.
- Manage on-page, technical, and content SEO initiatives.
- Develop backlink and external distribution strategies.
- Optimize visibility across Google as well as AI-driven discovery platforms such as ChatGPT, Perplexity, Gemini, and similar tools.
- Track organic traffic, rankings, visibility, leads, and pipeline generated through search.
GROWTH & ACQUISITION FUNNELS
- Build and optimize acquisition funnels from first interaction to qualified opportunity.
- Develop landing pages, lead magnets, reports, webinars, and other acquisition assets.
- Build email nurturing and lifecycle campaigns.
- Implement marketing automation and lead-routing workflows.
- Experiment with inbound, paid, partnership, community, retargeting, and outbound-assisted acquisition.
- Work closely with Sales to improve lead quality and conversion.
- Continuously identify new channels capable of generating qualified pipeline.
ANALYTICS & EXPERIMENTATION
- Own marketing analytics and attribution.
- Track:
- Website traffic and acquisition sources
- Visitor → lead conversion
- Lead → demo conversion
- Lead → opportunity conversion
- Qualified pipeline
- Marketing-sourced and marketing-influenced pipeline
- SEO performance
- Content performance
- Campaign performance
- CPL / CAC where applicable
- Build clear dashboards and reporting around marketing performance.
- Maintain a structured growth experimentation process:
- Hypothesis
- Launch
- Measurement
- Learning
- Iteration
- Prioritize measurable business outcomes over vanity metrics.
AI-FIRST MARKETING OPERATIONS
- Use AI extensively across the marketing workflow.
- Build efficient AI-powered processes for:
- Market and competitor research
- Content creation and editing
- SEO research
- Visual creation
- Video production
- Landing-page development
- Content repurposing
- Data analysis
- Outreach personalization
- Marketing automation
- Reporting
- Create reusable workflows and automations instead of repeatedly performing manual tasks.
- Continuously evaluate new AI tools that can improve marketing quality, speed, or scale.
QUALIFICATIONS
- 4+ years of hands-on experience in growth, content, digital marketing, or demand generation.
- Proven experience in B2B SaaS, FinTech, Payments, DevTools, infrastructure, or another technical startup environment.
- Strong portfolio of marketing initiatives you personally built or owned.
- Demonstrated ability to generate measurable results such as:
- Organic traffic growth
- Qualified leads
- Pipeline
- Conversion improvements
- Audience growth
- Successful content or campaign performance
- Strong understanding of B2B acquisition funnels and complex sales cycles.
- Excellent written English and strong copywriting skills.
- Strong understanding of positioning, messaging, and content strategy.
- Practical experience with SEO and website conversion optimization.
- Experience with marketing automation, CRM, and analytics platforms.
- Strong understanding of LinkedIn and B2B content distribution.
- Ability to operate independently with minimal supervision.
- Strong hands-on experience with modern AI tools.
STRONG PLUS
- Experience in:
- Payment orchestration
- Payments infrastructure
- Payment processing
- FinTech
- Billing
- Subscriptions
- Fraud or risk platforms
- API-first SaaS
- Experience at a high-growth startup with a strong content and media presence.
- Experience building a marketing function or major acquisition channel from an early stage.
- Experience with tools such as HubSpot, Webflow, Framer, GA4, Google Search Console, Ahrefs, Semrush, Clay, Apollo, Zapier, Make, or similar platforms.
- Experience building marketing workflows with ChatGPT, Claude, Perplexity, Cursor, or other AI tools.
- Experience working with PR, podcasts, industry media, events, or executive thought leadership.
- Existing network within the payments or FinTech ecosystem.
HOW YOU THINK & WORK
- You are a builder, not just a coordinator.
- You are comfortable personally shipping landing pages, content, campaigns, and experiments.
- You think in terms of pipeline and business outcomes, not only impressions or followers.
- You use data to decide what to double down on and what to stop doing.
- You are highly proactive and identify opportunities without waiting for detailed instructions.
- You understand how to turn complex technical products into clear and compelling narratives.
- You use AI to dramatically increase your speed and output without sacrificing quality.
- You are comfortable working in a fast-moving environment with a high degree of ownership.
LOCATION
Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours.
BENEFITS
Discover the perks of being part of our vibrant team! We offer:
- Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.
- Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.
- Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.
- Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them.
- Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt
Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth!
INTERVIEW PROCESS
After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps:
- Recruiter Screening (40 minutes)
- Final Interview (60 minutes)
LIFE AT RUBY LABS
At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day.
This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen.
Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success.
#LI-Remote
УдалённоleadUkraine; Moldova; Latvia; Albania; North Macedonia; Slovakia; Malta; Croatia; Czech Republic; Slovenia; Romania; Spain; Turkey; Bulgaria; Kazakhstan; Poland; Hungary; Montenegro; Estonia; European Union; Cyprus; Lithuania; Greece; Serbia; Bosnia; Georgia; Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET
Location: Москва
Мы новое подразделение Сбера, занимающееся созданием инструментов и решений для внутренней безопасности с помощью AI. Наши задачи направлены на развитие AI-агентов, создание RAG, запуск локальных инстансов LLM и их файнтюнинг. Наши планы имеют широкий спектр - начиная от разработки DL-моделей для скоринга, поведенческого моделирования и заканчивая графовыми нейронками для выявления скрытых связей.
Ищем Middle/Senior Data Scientist, который будет разрабатывать AI-агентов, адаптировать LLM под специфику задач, строить RAG-системы. Если ты хочешь иметь возможность погрузиться в глубины LLM и Deep Learning, пробовать новые методы к файнтюнингу LLM, строить AI-агентов, то мы ждем тебя в нашу команду.
Обязанности
* cоздание и развитие решений с задействованием LLM-агентов (полноценные мультиагентские системы)
* cоздание RAG-систем
* разработка и поддержка ML/DL моделей, включая их обновление и адаптацию к меняющимся условиям и требованиям бизнеса
* дообучение и адаптация открытых LLM
* создание системы мониторинга качества моделей и контроль их эффективности.
Требования
* оконченное высшее образование
* опыт работы от пяти лет в коммерческой разработке на позиции Data Scientist / ML Engineer с подтверждённым опытом вывода моделей в продакшен
* понимание математики классического ML и архитектуры нейросетей (PyTorch/TF)
* уверенное понимание архитектуры трансформеров, опыт работы с LLM API и локальными моделями через PyTorch / Hugging Face
* уверенный Python (чистый код, ООП, знание numpy/pandas/scikit-learn) и понимание принципов микросервесной архитектуры (Asyncio, FastAPI)
* опыт создания агентов на LangChain/LangGraph
* знание основных концепций промпт-инжиниринга и использования Structured Outputs и Function Calling
* опыт проектирования и развития RAG-систем (Multi-stage Retrieval, Dense + Sparse/BM25, Rerankers, Chunking strategies)
* опыт развертывания локальных open-source моделей (Llama, Mistral, Qwen, DeepSeek и др.) в продакшн-окружении и настройки высокопроизводительного инференса LLM с помощью vLLM
* опыт проведения Fine-tuning LLM-моделей (PEFT, LoRA/QLoRA)
* настройка мониторинга data drift и model decay, а также валидация моделей
* навыки работы с генеративными AI-моделями; опыт создания AI-агентов и использования их в работе будет преимуществом
* опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов
* инструментальное владение AI для анализа, генерации и автоматизации.
Условия
* инновационные, амбициозные проекты и задачи, которые развивают: всегда есть возможность прокачать свои навыки в работе и профессионально расти
* среда для обмена знаниями – высокая экспертиза внутри команды;
* сплоченная команда, работающая над общими задачами и умеющая хорошо отдыхать
* нашу культуру создают сами сотрудники – мы их слышим и помогаем создавать и поддерживать корпоративные комьюнити по интересам
* стабильная заработная плата и годовой бонус
* полностью офисный формат работы. Современный IT-офис вблизи Москва-Сити в пяти минутах от метро "Кутузовская", с фитнес залом
* более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
* подписка Прайм с возможностью совместного использования на трёх близких
* расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа
* вознаграждение за рекомендацию друзей в команду Сбера.
What you’ll do: Own backend architecture across two large-scale microservice platforms (30+ and 25+ services) — from system design and API contracts to data flow and inter-service communication. Drive performance and scalability — identify bottlenecks, design caching strategies, optimize database queries, and ensure the platform handles growing load.
Location: Tel Aviv, Israel
Workplace: hybrid
About Spin.AI
Spin.AI is a global SaaS security company based in Palo Alto, CA, protecting enterprises from SaaS ransomware, Shadow IT, non-compliance, data loss, and data leak disasters in the cloud.
SpinOne is an all-in-one SaaS data protection platform built for mission-critical applications such as Google Workspace, Microsoft 365, Salesforce, Slack, and Atlassian. We deliver the most innovative last line of cyber defense, along with SaaS data management and protection, for more than 2,000 organizations worldwide. Learn more at https://spin.ai/
Position Summary:
Spin.AI is looking for a Director of Product Management to lead our security product portfolio and take it to the next level. You will own two strategic, fast-growing products - our Browser Security solution and our SaaS DLP solution - and be the driving force behind their success in the market.
This is an end-to-end leadership role: you will define the product vision, own the roadmap, stay ahead of the competitive landscape, and work hand-in-hand with engineering teams to turn strategy into products customers love. Above all, you will lead these products to scale - growing adoption, revenue and market position.
If you are a business-minded product leader with deep security expertise who thrives in a fast-paced, high-growth environment, we want to talk to you.
Role and Responsibilities:
Product Vision, Strategy and Roadmap:
Own the product vision and long-term strategy, aligned with market trends, customer needs, and business objectives.
Conduct market research, competitive analysis, and customer interviews to identify product opportunities and define the product roadmap.
Collaborate with the executive team to prioritize features, releases, and investment areas.
Customer Insight and Requirements:
Work closely with customers, sales, marketing, and other stakeholders to understand their needs, pain points, and desired outcomes.
Translate customer requirements into detailed product requirements, user stories, and acceptance criteria.
Collaborate with engineering and design teams to ensure the feasibility and usability of product features.
Product Development and Execution:
Collaborate with cross-functional teams, including engineering, design, quality assurance, and operations, to develop and deliver high-quality products on time and within budget.
Lead agile product development processes, including sprint planning, backlog grooming, and release management.
Conduct regular product reviews, track progress, and address any issues or obstacles that arise during the development cycle.
Market and Competitive Analysis:
Stay up-to-date with cybersecurity industry trends, market dynamics, and competitive landscape.
Conduct competitive analysis to identify differentiation opportunities and inform product positioning and pricing strategies.
Monitor customer feedback and market demands to continuously improve and evolve the product offerings.
Product Launch and Go-to-Market:
Partner with marketing and sales on go-to-market strategy, including positioning, messaging, pricing and sales enablement.
Support product launches, customer demonstrations, webinars and training sessions.
Product Performance and Optimization:
Monitor product performance and key metrics, analyze user feedback, and identify areas for improvement and optimization.
Collaborate with customer success teams to gather customer insights, track product usage, and gather feedback for future iterations.
Work with engineering teams to prioritize and address bug fixes, enhancements, and feature requests.
Qualifications:
7+ years of experience in product management roles at security companies.
Proven experience leading a Browser Security product.
At least one role leading a product at a fast-growing startup.
Experience leading the integration of multiple products into a unified platform or offering - a strong plus.
Strong understanding of cybersecurity concepts, technologies and market trends, familiarity with DLP and SaaS security - a strong plus.
Very strong business orientation - the ability to connect product decisions to revenue, growth and customer value.
Excellent analytical and problem-solving skills, with the ability to translate complex technical concepts into user-friendly solutions.
Track record of working closely with engineering teams and delivering high-quality products on time.
Strong leadership, collaboration and communication skills, with the ability to influence executives and cross-functional teams.
Familiarity with agile development methodologies and product management best practices and tools.
Bachelor’s degree in computer science, engineering, business or a related field (or equivalent experience). MBA preferred.
Why join Spin.AI?
This is an incredible opportunity to join a fast-paced team with high growth potential to become a new unicorn or decacorn within the next few years.
Dream team of highly motivated and talented people, ambitious goals and challenges that require high analytical, management and communication skills.
EEO Statement
Equal Opportunity Employer
Spin.AI is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.
View The EEO is the Law poster and its supplement.
Disability Accommodation
For individuals with disabilities that need additional assistance at any point in the application and interview process, please contact our HR Manager, Shushan Akopian via shushan@spin.ai.
Own the technical strategy and long-term architecture for Smartsheet’s financial systems ecosystem across ERP, procurement, financial planning, payments, billing, tax, revenue processes, integrations, data, automation, and AI.
Directly manage and nurture a named account list and develop territory and account plans for winning and expanding business with the Commercial segment. Own the renewal and retention strategy for your territory, proactively identifying and mitigating churn risk.
You will be responsible for understanding and solving customer pain points through a unique value proposition, focusing on high-impact growth within your territory. By educating key decision-makers on inspiring technology, you will drive the mission forward and ensure customer success.
Требования:
— более 5 лет опыта в области HSE
— 2-3 года на позиции супервайзера/суперинтенданта по строительству лесов
— опыт работы в нефтегазовой отрасли и строительных проектах
— опыт контроля монтажа, модификации и демонтажа лесов
— глубокие знания стандартов безопасности лесов и требований по работе на высоте
— опыт инспекции, маркировки и сертификации лесов
— способность руководить командами и субподрядчиками по лесам
— знание требований PTW, WRP и HSE
— наличие соответствующих сертификатов компетентности/обучения по лесам
— знание английского и казахского языков
— высшее образование и не менее 5 лет профессионального опыта в строительной отрасли.
Location: San Francisco, California
Workplace: Hybrid
ABOUT SENTRY
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
ABOUT THE ROLE
Sentry’s AI capabilities span infrastructure, product features, design, and data ingestion. We’re hiring a Senior Technical Program Manager to connect this work across teams, helping them make decisions, manage dependencies, and deliver a cohesive product experience.
Our AI/ML team is building a modular platform for model routing, agent execution, and evaluations. Issues Platform owns customer-facing experiences such as issue details, activity feeds, and notifications. Product Design shapes how these experiences work together, while Ingest provides the underlying data pipeline.
You’ll lead the program across these teams: clarifying ownership, sequencing work, managing integration risks, and coordinating release readiness. You’ll partner with team leads to connect their plans and resolve gaps between roadmaps.
You’ll also improve how engineering changes reach teams across Engineering, Product, and Design, along with Documentation and Support. Your goal is a lightweight process giving partners the information and preparation time they need before changes reach customers.
You’ll join an early TPM team and help shape how the function works at Sentry. Success means helping teams deliver together through technical judgment, clear communication, and practical coordination.
This role is based in San Francisco, with three days per week in the office.
WHAT YOU’LL DO
AI DELIVERY
- Connect roadmaps across AI/ML, Issues Platform, Product Design, and Ingest into a shared delivery plan.
- Sequence platform capabilities, product features, and design work so teams address dependencies before they delay a release.
- Help teams assign accountable owners, resolve open decisions, and communicate commitments.
- Partner with engineering and product owners to define release readiness, including evaluation results, staged rollouts, eligibility, and access requirements.
- Bring ingestion and reliability dependencies into roadmap discussions so teams understand the risks behind delivery commitments.
- Drive risk mitigation with clear owners, contingency plans, and timely escalation.
- Give teams and leadership an accurate view of progress, dependencies, decisions, and risks.
CHANGE READINESS
- Build a lightweight process for identifying changes affecting other teams, notifying partners, and confirming readiness before release.
- Include documentation and support preparation in delivery planning, starting with AI features.
- Establish concise updates showing what is changing, when, and who needs to act.
- Review communication and readiness gaps with the teams involved, then improve the process.
- Keep the effort proportional to the change and remove steps which don’t improve delivery.
HOW YOU WORK
- You help teams bring structure to complex programs with unclear ownership or no established process.
- You listen to different perspectives, make tradeoffs visible, and help teams resolve competing priorities.
- You engage with technical details and connect architectural decisions to delivery risks and product outcomes.
- You raise risks early, propose practical responses, and follow through.
- You adapt processes to teams’ needs and simplify them when the value is unclear.
- You respect team ownership while helping cross-team decisions reach resolution.
- You share information clearly so partners have the context they need to contribute.
QUALIFICATIONS
- Experience leading complex technical programs from problem definition through launch.
- Experience coordinating delivery across multiple engineering teams with separate roadmaps and leadership.
- Technical understanding to review design proposals, discuss architectural tradeoffs with engineers, and identify integration risks and downstream effects.
- A track record of managing dependencies, driving risk mitigation, and adapting plans as conditions change.
- Experience creating or improving processes which teams adopted and sustained.
- Clear written communication, including program updates, decision records, and escalations with explicit next steps.
- Experience building alignment across engineering, product, and design through sound judgment and follow-through.
Relevant experience might come from technical program management, software engineering, or another role involving ownership of cross-team technical delivery.
PREFERRED EXPERIENCE
- Shipping AI/ML or LLM-backed features, including evaluations, quality checks, and staged rollouts.
- Partnering with product design to coordinate design and engineering work.
- Working with data pipelines, ingestion, or streaming infrastructure.
- Building developer tools or technical B2B products.
- Improving release communication across engineering, documentation, and support.
Experience in every preferred area is not required.
TEAM PRINCIPLES
- Make work visible. Keep plans, ownership, decisions, and next steps clear and current.
- Raise risks early. Give teams time to respond before delivery is affected.
- Reduce friction. Build practices which help teams get work done.
- Respect ownership. Support informed decisions and help accountable owners resolve open questions.
- Keep partners informed. Communicate changes to scope, timing, and readiness before they affect others.
The base salary range Sentry reasonably expects to pay for this position is $150,000 to $240,000 USD. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.
EQUAL OPPORTUNITY AT SENTRY
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.
Location: Makkah, Saudi Arabia; Riyadh, Saudi Arabia; Jeddah, Saudi Arabia; Dammam, Saudi Arabia
Job Description
The
Turbine & Precision Equipment Rigger
is responsible for executing highly critical, heavy, and precision lifting operations during power plant turbine outages and industrial maintenance shutdowns. This role demands exceptional technical expertise to safely handle multi-million dollar rotating equipment, gas/steam turbine components, and delicate machinery within tightly restricted spaces. The successful candidate must strictly adhere to engineered lifting plans, maintain zero-compromise safety standards, and display flawless precision under fast-paced outage timelines.
Key Responsibilities
Rigging Execution:
Safely attach, lift, guide, and position heavy turbine components and associated mechanical equipment in strict compliance with
approved, engineered lifting plans
.
Pre-Lift Assessment:
Thoroughly review critical technical parameters prior to every lift, including total load weight,
exact center of gravity
, designated lifting points, travel path clearances, and final landing arrangements.
Equipment Management:
Select, calculate, and inspect specialized rigging hardware such as synthetic/wire-rope slings, shackles,
spreader beams
, chain blocks, and specialized lifting accessories.
Compliance & Safety Verification:
Audit all lifting tackle before use to verify valid identification tags, current inspection status, and
Working Load Limits (WLL)
.
Precision Maneuvering:
Expertly guide immense structural loads through highly restricted areas and congested plant environments utilizing controlled mechanical methods and precise signaling.
Requirements
Experience:
Minimum of
3 to 5 years of proven experience
as an industrial rigger, with a strong preference for candidates who have completed major
turbine outages, power plant shutdowns, or heavy mechanical maintenance
.
Technical Skills:
Comprehensive knowledge of rigging mathematics, center-of-gravity calculations, crane signals, and rigging hardware capacities.
Certifications:
Valid third-party rigging certifications (such as
TUV, Bureau Veritas, Aramco, or equivalents
) are highly preferred.
Physical Capability:
Ability to work in confined spaces, at heights, and handle the physical demands of 12-hour shifts typical during emergency or scheduled outages.
Soft Skills:
Strong teamwork orientation, high attention to detail, and a strict commitment to safety protocols.
Makkah, Saudi Arabia; Riyadh, Saudi Arabia; Jeddah, Saudi Arabia; Dammam, Saudi Arabia
Responsibilities Analyze requirements and acceptance criteria before development starts, and raise the ambiguities and edge cases that are cheaper to find at that stage. Design, document, and maintain test cases and test plans, keeping them traceable from requirement to case to result to defect.
Нам нужен Unreal Engine Developer, который сможет подключиться к созданию gameplay-прототипа и самостоятельно работать с игровыми системами. Ближайшая задача - реализация первого gameplay-прототипа: базовое поведение противника, AI и обнаружение игрока, реакция на события, преследование и атака.
Location: Warsaw, Mazowieckie, Poland; Sofia City, Bulgaria; Limassol, Cyprus
Workplace: hybrid
We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team.
As a Technical Product Operations Manager, you will own the work that moves our platform forward but does not fit inside any single team. Our engineering organisation is split across several tribes, each with its own services, roadmap and release cadence. Platform migrations, retiring shared dependencies, standardising how every squad works and rolling out new engineering practices all cut across those boundaries, and you will be the person who holds that work end to end.
You will run cross-team technical programs, help drive and improve the engineering processes everyone relies on, and make sure both are backed by real data rather than assumptions. This is not a people management role, and you will not write production code. You do need to be technical enough that engineers treat you as a peer. The role is broad and hands-on. In a typical week you might sequence a Kafka topic migration across four squads, fix a company-wide process that keeps stalling at the same step, pull numbers from a database to settle a question about impact, and ship a small automation that removes a recurring manual task for the whole department. Continuous improvement and AI are central to the role: you will constantly look for better ways for engineering to work and apply AI where it clearly improves throughput, quality or speed.
Responsibilities:
Run cross-team technical programs such as platform migrations, dependency removals, standardisation initiatives, decommissioning, and large infrastructure changes. For each one, break broad goals into sequenced plans with named owners.
Find the right decision-makers when ownership is unclear, facilitate technical discussions (including where squads disagree), and secure clear decisions with committed dates.
Maintain a single, accurate view of each programme's phase, blockers, owners, and delivery dates. Raise conflicts between sources rather than smoothing them over.
Produce concise, accurate status reporting that engineering leadership can act on.
Drive and improve company-wide engineering processes, such as tech design review. This means sharpening the processes already live, establishing new ones where needed, and running their cadence, templates, queues, and follow-through.
Gather feedback from engineers and separate friction worth removing from friction that serves a purpose, then turn the findings into concrete process changes.
Instrument processes so their health is measured rather than assumed, for example review turnaround time, rework rate, or how often work reaches build without a required decision.
Query data directly using SQL, dashboards, and APIs, and reconcile what Jira reports with what systems actually show.
Identify recurring manual work across engineering and automate it, using AI where it adds real value, then measure whether the automation delivered actual savings.
Build lasting assets such as playbooks, templates, runbooks, automated reporting, and agent workflows that keep working after each programme ends, and help colleagues adopt the AI practices that work.
Requirements:
Degree in STEM or other quantitative field.
Minimum 4 years of experience in technical programme management, engineering operations, or delivery management within a high-performance software engineering environment.
Proven track record of delivering cross-team technical programmes in a multi-team organisation.
Strong technical understanding of modern software systems, including services, deployments, queues, metrics, Kubernetes, Kafka, CI/CD, releases, and rollbacks.
Ability to read architecture diagrams, tech design documents, and ADRs, and judge whether they are ready for review.
Proficiency in SQL and comfort working with dashboards, APIs, and Jira.
Practical experience using AI tools to improve personal and team productivity.
Strong stakeholder management and facilitation skills, with the confidence to drive decisions where ownership is unclear.
Clear, concise written communication for senior audiences.
Strong ownership mentality: proactive, accountable, and execution-focused.
What Will You Get in Return?
• Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated.
• Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid
• Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry.
• Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team.
• Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks!
• Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits!
• Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community.
Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.
Location: London
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!
WHY THE COHERE TPM ROLE?
As our Generative Machine Learning organization has continued growing, we are looking for more Technical Program Managers to join the team!
At Cohere, TPMs are pivotal to our success, being seen as operational experts specializing in cross-functional efforts. Great TPMs at Cohere are well-rounded, executing with precision at the tactical level, while partnering with senior leaders and shaping the big picture at a strategic level, and the opportunities are endless in growing the scale and impact of their work. Cohere’s TPMs would often be described as organized, execution-oriented, pragmatic leaders who are adaptable to the needs of the company and the programs they lead.
As a reward for the depth and breadth of expertize that you bring to the table, you will get to work alongside some of the most talented AI researchers and industry experts in the world on building cutting edge AI technology. No day will be the same as the one before, and the dynamic high growth environment will be absolutely perfect for anyone excited about solving novel problems, bringing structure to oftentimes chaotic and fast-paced environments, and ambitious about scaling their own impact and growth alongside the company!
Please note: While we are remote-first and accept candidates from all over the world, we are highly prioritizing hiring for people who are within 1-2 hours of British Standard Time (BST).
AS A MACHINE LEARNING TECHNICAL PROGRAM MANAGER, YOU WILL:
- Establish, improve, and scale foundational processes that allow the Generative Modeling teams to execute better, faster, and more predictably
- Scale the operational capacity and effectiveness of the Modeling TPM team in collaboration with the Modeling TPM lead to ensure the function can remain lean and effective during a period of the program portfolio complexity and size continuing to rapidly increase
- Flexibly adapt to the needs of the company, programs, and the team from tackling long-horizon programs that can span quarters or even years to jumping onto often highly ambiguous short-term challenges that can have company-wide impact
- Partner directly with leaders within and outside of the Modeling organization on efforts to design, train and improve our core generative models
- Lead cross-functional, oftentimes company-wide programs and strategic initiatives, collaborating and coordinating with cross-functional teams such as Product, Engineering, Legal, Platform, Infra, Policy, and Finance
- Operate as an organizational expert in improving engineering execution rigor and operations on the ground, while contributing to the strategic layer in areas such as long-term strategic planning with senior modeling leadership
- Map out dependencies and risks, and ensure that cross-functional execution across the program runs smoothly, communicating status with non-technical and technical stakeholders and senior management
- Both own and enable a useful communication flow of priorities, ideas, and knowledge throughout and beyond the Modeling organization in line with your programs
- Respond quickly to program-level changes, clarifying new scope, and managing resource needs in response to evolving priorities
YOU MAY BE A GOOD FIT IF YOU HAVE:
- 5-10 years as a Technical Program Manager AND 5+ years of experience working directly on AI/ML. Strong preference for candidates that have worked directly in building foundation models.
- In-depth knowledge of machine learning, particularly when it comes to Natural Language Processing & Large Language Models (LLMs). Bonus points for experience with Multimodal AI.
- Experience with working in a chaotic, fast paced, low structure environment. We need someone who is pragmatic, can roll up their sleeves when needed, and can function at the tactical and strategic level to do whatever it takes to make Cohere’s models succeed
- Personal hands-on understanding of the unique challenges of managing projects and programs in the AI/ML development space as opposed to traditional software program management
- Managed projects & programs requiring a strong general business acumen, such as coordinating with Finance on reporting needs or Policy on regulatory compliance matters — the broader your experience beyond ML technical program management, the better!
- (optional, but preferred) Have technical experience in a hands-on capacity. We don’t necessarily need someone with hands on experience training models, but you need to feel comfortable sitting in the same rooms with some of the best researchers in the world, working on highly complex, cutting edge ML problems
If some of the above - other than the ML TPM experience - doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
We welcome applicants of all kinds and are committed to providing both an equal opportunity process and work environment. We value and celebrate diversity and strive to create an inclusive work environment for all.
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.
-Реализация полного цикла разработки моделей и ML-решений: от постановки задачи до передачи на внедрение и мониторинг. -Генерация ML-решений для задач бизнеса, формирование БТ моделей и ТЗ для смежных команд.
Your mandate is to create new executive relationships, build qualified pipeline, win complex multi-product platform opportunities, expand 1Password’s strategic footprint across an existing book of business and secure new logos to add to our customer base.
УдалённоmiddleNew York
seniorМосква
ГибридTel Aviv, Israel
ГибридseniorSan Francisco, California
ГибридWarsaw, Mazowieckie, Poland; Sofia City, Bulgaria; Limassol, Cyprus