Разработка вакансии

• 5+ лет коммерческого опыта с Python и production-опыт разработки AI-агентов, LLM orchestration и RAG. • Практический опыт с LangGraph / LangMem, Qdrant или аналогами.

Построить успешный офис «Первого Бита» и стать лидером региона в сфере автоматизации бизнеса.

• Вести задачи от идеи до production. • Разрабатывать и развивать компоненты платформы.

Location: Buenos Aires, Argentina; Tiranë, Albania; Andorra la Vella, Andorra; Yerevan, Armenia; Wien, Austria; Brussels, Belgium; Sao Paulo, Brazil; Budapest, Hungary; Sofia, Bulgaria; Medellin, Colombia; San Jose, Costa Rica; Zagreb, Croatia; Nicosia, Cyprus; Prague, Czechia; Copenhagen, Denmark; Tallinn, Estonia; Tbilisi, Georgia; Athens, Greece; Dublin, Ireland; Tel Aviv, Israel; Como, Italy; Milano, Italy; Rome, Italy; Mexico City, Mexico; Sliema, Malta; Podgorica, Montenegro; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Belgrade, Serbia; Cape Town, South Africa; Barcelona, Spain; Stockholm, Sweden; Berne, Switzerland; Chiasso, Switzerland; Lugano, Switzerland; Amsterdam, Netherlands; Istambul, Türkiye; Abu Dhabi, United Arab Emirates; Dubai, United Arab Emirates; London, United Kingdom; Montevideo, Uruguay Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As an AI Filmmaker, you will leverage AI-based photo and video tools to conceptualize, create, and edit short films and videos. These videos will be used to tell stories, showcase products, and bring the visions of Tether and its affiliated companies to life. You’ll work closely within the marketing department to ensure that each video aligns with the brand’s message, tone, and visual style. Responsibilities Create short films and videos using AI-driven photo and video generation tools. Edit and refine AI-generated content to produce high-quality, engaging visuals. Collaborate with the marketing team colleagues to develop video concepts for Tether, and other affiliated brands. Ensure all video content aligns with brand guidelines and communicates key messages effectively. Stay updated on the latest AI filmmaking tools and techniques, incorporating innovations into your workflow. Manage multiple projects with tight deadlines, ensuring timely delivery. Experiment with creative formats, styles, and effects to produce unique, memorable content. Proven experience in video production and editing, with a strong portfolio of work. Proficiency in AI video generation tools (e.g., Runway, Stable Diffusion, MidJourney, DALL-E, or others). Expertise in video editing software (e.g., Adobe Premiere, After Effects, DaVinci Resolve). Creative storytelling skills with a keen eye for visual composition and detail. Ability to conceptualize and execute ideas quickly using AI tools. Familiarity with digital marketing and the ability to tailor content for social media platforms. Strong project management and organizational skills, with the ability to work independently and meet deadlines. A passion for technology, bitcoin, and innovation is a plus. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Tokyo, Japan 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 As a leader of Applied AI Solutions Architecture in Japan, you will drive the adoption of frontier AI by enabling the deployment of Anthropic’s products (Claude for Enterprise, Claude Code, and API) across Japanese enterprises and digital-first organizations. You’ll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers’ business needs, meets their technical requirements, and provides a high degree of reliability and safety. You’ll lead and grow a Japan Applied AI team as Anthropic’s presence in the market continues to expand. Applied AI comprises Solutions Architects, Product Engineers, and Finetuning Engineers. Working alongside the existing Japan Applied AI leadership, you will scale processes and best practices for the region’s technical pre-sales engagements, help each team member achieve success, high productivity, and career growth, and represent Anthropic as a technical lead on some of its most important partnerships. In collaboration with the Sales, Product, and Engineering teams globally and locally, you’ll help enterprise partners incorporate leading-edge AI systems into their cutting-edge products and platforms. You will employ your excellent communication skills, in both Japanese and English, to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards. Responsibilities Lead and grow a team of Applied AI professionals in Tokyo (Solutions Architects and Product Engineers), providing both technical guidance and career development Set goals and reviews for your team, promoting growth and output Partner with the existing Japan Applied AI leadership to align on team structure, coverage, and best practices Work with a handful of the highest-value enterprise customers on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution Partner closely with your aligned GTM leadership to understand customer requirements and co-build GTM strategies to drive adoption for Japanese enterprise customers and partners (including SIers and resellers) Contribute to thought leadership through conference presentations, webinars, and technical content creation Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products Drive collaboration across cross-functional teams to influence and unify stakeholders at all levels of the organization, including navigating consensus-driven decision-making within Japanese enterprises Travel regularly to customer sites for executive-level sessions, technical workshops, and building relationships Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products Lead the vision, strategy, and execution of innovative solutions that leverage our latest models’ capabilities Stay current with emerging AI/ML trends and the competitive landscape in the Japanese enterprise tech sector You may be a good fit if you have: 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role 3+ years of technical go-to-market management experience, specifically managing pre-sales teams Native or business-level fluency in Japanese and professional proficiency in English Experience working with Japanese enterprise customers and understanding local business culture and decision-making processes (e.g., ringi/nemawashi, multi-layer stakeholder alignment) Experience with the unique technical requirements and technical procurement processes of Japanese enterprises, including working through SIers and channel partners Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases An organizational mindset and enjoyment of scaling teams in a fast-growing, evolving environment Excellent communication, collaboration, and coaching abilities Comfort with uncertain, ambiguous, and fast-moving environments typical of the tech industry Strong executive presence and the ability to foster deep relationships with technical leaders and engineering teams At least a high-level familiarity with the architecture and operation of large language models and/or ML in general Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems The ability to make ambiguous problems clear and identify core principles that translate across scenarios A passion for making powerful technology safe and societally beneficial Creative thinking about the risks and benefits of new technologies, beyond past checklists and playbooks An active interest in emerging research and industry trends Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies 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. 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.

OKX is looking for a Senior Staff Software Engineer to design and operate high-scale payment APIs and distributed services while ensuring transaction correctness and mentoring engineers.

Factory is looking for a Member of Deployed Staff Applied AI to lead enterprise deployments and drive product adoption.

Lead design and implementation of the CDS Hooks platform, including card orchestration, hook context handling, EHR-side logic orchestration, and integration with downstream data services. Lead technical integration with EMR systems (Epic, NextGen, Athena, ECW) for CDS Hook discovery, execution, card rendering, and user action handling.

Location: Ukraine; Poland; Croatia; Spain; Romania; Portugal 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 Staff Software Engineer to join us as part of our team. About the role PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Our Tech Stack Java, Spring, React, Typescript, Apache Beam, Flink, Python, LangGraph, GCP/AWS, K8s. Work Environment Flexible schedule with participation in team ceremonies and cross-functional collaboration. Time zone: Europe/Kyiv. As a qualified expert, You will - Solve strategic engineering problems hands on. Explore technologies, build prototypes, and produce reference implementations that make architectural qualities and tradeoffs observable. - Design and deliver working software. Architect, implement, test, and maintain services and platform components, including backend systems and architecture-related frontend concerns such as micro-frontend patterns. - Automate architectural conformance. Design and implement AI-based architectural conformance checks and fitness functions that continuously evaluate whether systems follow agreed principles, patterns, and quality constraints. - Turn ambiguity into an executable approach. Break complex problems into bounded areas, apply domain-driven design, and select a practical course of action when information or precedent is limited. - Define measurable quality goals. Establish and continuously evaluate requirements for performance, scalability, reliability, security, availability, recoverability, maintainability, portability, usability, and extensibility. - Document architecture evolution. Describe the current state, target state, transition steps, constraints, alternatives, and decisions in forms that engineering teams can use. - Make explicit engineering tradeoffs. Provide balanced recommendations on build versus buy, now versus later, and refactor versus rebuild, including cost and operational implications. - Create reusable engineering patterns. Develop scaffolding, templates, reference architectures, or platform capabilities that teams can adopt without depending on the Staff Software Engineer long term. - Guide delivery teams. Perform architecture and design reviews, coach engineers through difficult decisions, and enable teams to make high-quality choices independently. - Communicate for the audience. Explain technical context clearly to engineers, technical leaders, product managers, and business stakeholders, and incorporate useful feedback. We’re looking for you if you have - A degree in Computer Science, Information Systems, or a related field, or equivalent practical experience. - At least 6 years of experience in software engineering using Java or a comparable object-oriented language. - At least 3 years developing microservices and experience building distributed or event-driven systems in the cloud. - Practical knowledge of service-oriented architecture, domain-driven design, clean architecture, hexagonal architecture, and common architecture patterns. - Experience implementing agentic applications and tools applying evaluation approaches as part of the process - Experience designing RESTful APIs and event driven Kafka-based applications - Experience with mainstream relational databases, caching, replication, and search technologies. - Experience developing and evaluating agentic applications. - Experience with Google Cloud Platform or Amazon Web Services with container orchestration technologies. - Strong problem-solving skills and the ability to lead through technical guidance across multiple teams without formal authority. - Excellent written and verbal communication with engineers, managers, and product partners. 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 Pre-screening with recruiter Technical Screening Technical Interview HR BP Interview Final client Interview

Location: United States; Canada; United Kingdom; Australia; New Zealand About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are looking for Software Engineers to help train and evaluate next-generation AI models on real-world software engineering tasks. You will assess AI-generated code for correctness, quality, and design, create challenging programming problems with verified reference solutions, and evaluate model reasoning across architecture, debugging, and system design. This role is ideal for technically strong professionals who can identify engineering flaws and provide clear, actionable feedback to improve AI performance. SENIORITY: Mid-Senior LANGUAGE: Strong written English Key Responsibilities Evaluate AI-generated code for functional correctness, code quality, maintainability, and sound software design. Create challenging coding problems, verified reference solutions, and comprehensive test cases. Review AI reasoning on software architecture, debugging, algorithms, and system design. Identify logical errors, inefficient implementations, edge cases, and architectural weaknesses. Provide detailed technical feedback and explanations to help improve AI model performance. Apply consistent evaluation criteria to ensure accurate and reliable assessments. Requirements At least 3 years of overall professional experience in Data Science or Software Engineering. At least 1 year of professional experience at a leading technology, finance, or research company. A bachelor’s degree in Data Science, Software Engineering, Computer Science, or a related field from a university in the United States, Canada, Australia, New Zealand, or the United Kingdom. Strong programming and software engineering fundamentals. Ability to evaluate code correctness, identify bugs, and assess software design decisions. Strong analytical thinking and the ability to solve complex technical problems. Excellent written English and the ability to communicate technical feedback clearly.

— Проектировать и разрабатывать обвязку для ИИ-агентов: инструменты, оркестрацию, память, песочницы. — Интегрировать агентов с системами клиентов: 1С, CRM, документооборот.

— Настраивать обмен данными между 1С, CRM и системами клиентов. — Разрабатывать интеграции с ИС ЭСФ и госсервисами.

Разработка и доработка backend-компонентов под руководством наставника. Участие в создании API и интеграциях с другими сервисами.

разрабатывать и улучшать компоненты интерфейса; адаптировать страницы для мобильных устройств;

Участие в разработке и совершенствовании программных продуктов компании. Разработка и поддержка веб-приложений и сервисов.

— Настройка и конфигурация модулей IBM MREF: Space Management, Reservation Management, Work Orders, Service Requests, Preventive Maintenance (ППР), Inventory, SLA. — Настройка ролей пользователей (Self-Service, Limited, Base) и управление AppPoints.

Location: Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the team Agent Experience builds the AI-powered backend services that power agent-assist tooling on our Astra support surface — helping support agents resolve customer, merchant, and Dasher issues faster. We sit at the intersection of LLM-backed product features and high-volume, latency-sensitive support infrastructure. What you'll do Build and maintain backend services for agent-assist features on Astra, taking on feature-level work with increasing independence. Translate requirements into working code: design the feature-level approach, write an RFC when the change affects other engineers, and implement it end-to-end. Integrate with LLM-backed features — wiring up prompt/completion calls, handling provider responses, and validating output quality and correctness. Break down assigned project work into tasks, provide accurate estimates, and keep your own progress and dependencies on track. Apply AI tooling thoughtfully to your own workflow (coding, testing, review) and critically evaluate its output rather than taking it at face value. Participate in code review — both giving and receiving — to help the team hold a high bar for correctness, quality, and standards compliance. Collaborate with senior engineers and partner teams to clarify problem definitions, unblock yourself, and flag risks or blockers early. What we're looking for Solid backend engineering fundamentals in Go, with experience shipping and maintaining production services. Exposure to LLM-powered features in production (prompt/completion integration, provider APIs) is a plus — we'll ramp you up if you haven't worked with this directly. Ability to independently own feature-level work: from a written requirement to tested, shipped code. Comfort working in a domain with multiple chat/support surfaces — willingness to trace issues to the right service rather than guessing. Clear technical writing (RFCs for feature-level decisions) and good judgment about when to ask for help versus push forward. 2–4 years of backend engineering experience, with a track record of growing ownership and scope. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ As Docker continues its rapid growth, we're seeking an inspiring and experienced Director of Partner Solution Engineering to lead a world-class team. Docker helps organizations solve complex challenges in modern software supply chains, security governance, and AI-driven development. This role offers the opportunity to shape how our strategic partners, including ISVs, CSPs, SIs, and VARs, adopt and deliver transformative technologies that make developers more productive and secure. ABOUT THE ROLE As Director of Partner Solution Engineering, you will lead a high-performing technical organization responsible for driving partner enablement, joint go-to-market initiatives, and technical excellence across Docker's partner ecosystem. You will collaborate closely with Partner Sales, Technical Alliances, Product, and Engineering to develop scalable technical partnership strategies that help partners successfully integrate, sell, and deliver Docker's platform. Your focus will be on enabling your team to drive partner technical readiness, co-innovation, and mutual customer success while building repeatable models for partner engagement at scale. KEY RESPONSIBILITIES LEADERSHIP & TEAM DEVELOPMENT - Lead, develop, and inspire a team of Partner Solution Engineers, ensuring professional growth and high performance across multiple partner segments (ISVs, CSPs, SIs, VARs). - Build and scale the Partner SE organization to support Docker's expanding partner ecosystem and geographic coverage. - Foster a culture of innovation, collaboration, and continuous learning focused on partner success and technical excellence. - Coach, mentor, and empower your team to engage effectively with diverse partner organizations and communicate complex technical concepts clearly. PARTNER ENABLEMENT & TECHNICAL STRATEGY - Establish repeatable processes and programs for partner technical enablement, including scalable learning paths, certifications, technical deep-dives, and integration workshops. - Design and deliver both 1:1 strategic enablement for key partners and 1-to-many programs that drive adoption across the broader partner ecosystem. - Create technical content, integration guides, architectural diagrams, reference architectures, and enablement videos tailored for partners. - Develop partner-specific technical sales plays, solution validation frameworks, and proof-of-value methodologies that highlight Docker's differentiated value. JOINT GO-TO-MARKET EXECUTION - Partner with the Partner Sales organization to drive joint account planning, co-selling opportunities, and "sell-with" and "sell-through" motions. - Guide partners through solution design, technical validation, and evaluation processes to achieve joint customer success and sales goals. - Support product positioning and technical validation during joint sales engagements, ensuring clarity on what's GA and ready for delivery. - Define and track metrics for partner technical readiness, engagement quality, and revenue impact. PRODUCT & ALLIANCE COLLABORATION - Collaborate with Product and Engineering teams to share Voice of the Partner, influencing roadmap priorities and co-building initiatives. - Guide beta/EAP program participation with strategic partners, gathering feedback on new features and integration requirements. - Work closely with the Technical Alliances team on roadmap alignment, technical integrations with CSPs and ISVs, and partner-driven feature requests. - Champion regional partner technical needs and priorities in internal planning discussions (FedGov, EMEA, APAC). CROSS-FUNCTIONAL LEADERSHIP - Collaborate with Field SEs to ensure alignment with market-specific requirements, share learnings, and avoid duplication of effort. - Partner with Marketing to support partner events, conferences, webinars, and demand generation programs. - Work with Sales leadership to define partner success metrics, performance standards, and technical excellence measures. - Represent Docker at partner events and conferences as a technical expert and evangelist. OPERATIONAL EXCELLENCE - Create an environment of continuous improvement focused on partner outcomes, operational excellence, and scalable processes. - Develop internal enablement programs that enhance partner SE capabilities and share best practices across teams. - Establish tools, systems, and workflows that enable efficient partner engagement and measurement. - Build strong feedback loops to iterate on enablement strategies based on data-driven insights and partner performance. QUALIFICATIONS REQUIRED - 8+ years of experience leading technical partner engineering, partner solutions, or pre-sales teams for distributed systems, developer platforms, or cloud infrastructure companies. - Proven success in guiding teams that support channel partnerships, strategic alliances, and joint go-to-market initiatives. - Minimum of 5 years in management, including hiring, mentoring, and scaling high-performing partner-facing technical teams. - Deep understanding of partner ecosystems including ISVs, CSPs (AWS, Azure, GCP), Systems Integrators, and VARs. - Strong experience in software supply chain security, security governance, DevOps, DevSecOps, or developer productivity technologies. - Deep technical understanding of containerization, cloud-native architectures, CI/CD pipelines, and developer tools. - Demonstrated ability to build scalable partner enablement programs (technical learning paths, certifications, workshops). - Excellent communication and executive presentation skills, with the ability to build trust across technical and business audiences at both partner and customer organizations. - Strong strategic thinking with proven ability to influence cross-functional teams and drive complex initiatives. PREFERRED - Operational experience with Docker, Kubernetes, or similar container-based platforms. - Experience with application security principles and securing the software supply chain, including SBOMs, image scanning, and secure delivery pipelines. - Background in software development, scripting, or infrastructure-as-code. - Experience enabling developer productivity through coding assistants, AI integrations, or AI agent development. - Familiarity with partner operations tools including Salesforce and enablement platforms like MindTickle. - Experience working in both direct and channel sales models, understanding the nuances of partner-led vs. partner-assisted sales. - Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). - Willingness to travel (~30% expected) to support key partner engagements and events. WHAT SUCCESS LOOKS LIKE 30 DAYS - Successfully onboard, gaining familiarity with Docker's platform, partner ecosystem, and partner go-to-market strategy. - Establish relationships with your team, Partner Sales, Technical Alliances, Field SE leadership, and key cross-functional partners. - Begin shadowing partner calls, reviewing existing enablement materials, and understanding current partner technical capabilities. - Learn tooling (Salesforce, Looker, Docker platform, PRM) and connect with internal stakeholders. 90 DAYS - Develop and align a 12-month strategic plan with Partner Sales, Technical Alliances, and Product leadership. - Begin executing key initiatives focused on improving partner technical readiness, enablement program quality, and joint sales effectiveness. - Lead enablement sessions for selected strategic partners and support joint-account planning activities. - Produce initial partner-facing technical content and establish your voice as a technical leader in the partner ecosystem. 1 YEAR - Scale and enable a high-impact Partner Solution Engineering organization that drives measurable partner success and revenue growth through the channel. - Own the technical strategy for one or more partner segments with documented processes, metrics, and success stories. - Become a trusted advisor across Partner Sales, Product, Engineering, and Technical Alliances by championing partner insights and technical excellence. - Demonstrate quantifiable improvements in partner technical closure rates, joint sales velocity, and partner satisfaction scores. - Build a reputation as a thought leader in the partner ecosystem, representing Docker effectively at partner events and conferences. WHY JOIN DOCKER Docker is at the forefront of developer productivity and software supply chain security. As Director of Partner Solution Engineering, you'll have the opportunity to: - Shape the technical strategy for how Docker scales through its partner ecosystem - Build and lead a world-class team of Partner Solution Engineers - Work with industry-leading partners including major cloud providers, security vendors, and global system integrators - Influence product direction based on partner and customer insights - Make a measurable impact on Docker's growth through the channel - Collaborate with passionate, talented teams across Sales, Product, Engineering, and Alliances This is a high-impact leadership role for someone who thrives at the intersection of deep technical expertise, strategic partnership development, and team building. If you're excited about enabling partners to deliver exceptional outcomes for joint customers while building a best-in-class Partner SE organization, we'd love to hear from you. Docker does not offer visa sponsorship for this role.   Compensation & Equity Canada: CA$327.6K– CA$468K OTE + equity United States: $226.1K – $323K OTE + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE