Role Description You are a player-coach who leads a team of Forward Deployed AI Engineers and Creative Pipeline Specialists building GenAI-powered content production systems for the world's largest brands. You don't manage from the sidelines — you write code, review PRs, make architecture calls, and unblock your team by rolling up your sleeves. Your technical credibility is your management tool. You've been on the other side of the table. You've worked at an agency, a creative studio, or a MarTech company where content gets made at scale — so you understand the customer's world from the inside. Now you're leading the team that transforms those workflows with AI. Your team is the core of Adobe's Forward Deployed Engineering org. You own delivery outcomes, team performance, and technical quality across multiple customer engagements simultaneously. You build a team that ships fast, operates with high autonomy, and compounds every engagement into reusable capability. You elevate your team through clarity, judgment, and technical depth — not process, not status reports, not overhead. What You'll Do - Lead by building: You are hands-on. You contribute directly to production systems — writing code, reviewing architecture, debugging deployments — especially when progress or clarity depends on it. Minimum 30% of your time is technical work. - Own delivery outcomes: Drive end-to-end delivery across multiple customer engagements. Scope work, sequence delivery, remove blockers early, and make fast trade-offs between speed, scope, and quality. Every engagement ties back to measurable value realization and customer adoption — not just "we shipped it." - Grow a high-performing team: Recruit, develop, and retain exceptional AI engineers. Set a high bar for performance. Give direct, actionable feedback. Build a culture of ownership, speed, and trust — not a culture of meetings and approvals. - Set technical direction: Guide architecture decisions, enforce engineering standards, and ensure your team builds scalable, reusable systems — not throwaway consulting artifacts. You define what "production-ready" means. - Drive the product feedback loop: Turn field-proven patterns into actionable product roadmap input. You sit at the intersection of customer reality and product strategy, and you make sure what your team learns in the field reaches the people building the product. - Scale the org, not just the headcount: Codify what works into playbooks, shared tooling, and reusable frameworks. Build internal capabilities that make every subsequent engagement faster. You think in leverage, not just delivery. - Represent the org externally: Showcase your team's work at customer workshops, internal reviews, and industry forums. Publish, speak, and build the reputation of FDE as a world-class engineering org — both for Adobe's brand and to attract the best talent. Qualifications - You still write code. - Engineering management track record: 3+ years managing high-performing engineering teams (8+ total years in software engineering). - Hands-on GenAI experience: You've built or deployed AI-powered systems — LLM integrations, RAG pipelines, agent frameworks, or equivalent. - AI-native operator: You use Cursor, Claude Code, Copilot, or equivalent daily. - Creative content supply chain experience: You've built content production systems, MarTech platforms, asset automation tools, or creative workflow technology. - Customer-facing leadership: You've worked directly with enterprise customers — running technical workshops, presenting to stakeholders, embedding with client teams. - Startup speed, enterprise judgment: You've operated in fast-moving environments where you had to figure things out without a playbook. What Sets You Apart - Former technical founder, technical director at an agency, or early engineer at a startup who's built a product from scratch. - You've built AI-powered creative production or content automation systems. - You've managed globally distributed teams and know how to build cohesion across time zones. - You use AI agents to drive your own management workflows. - You've introduced engineering practices into organizations that didn't have them. Benefits - Comprehensive benefits programs. Company Description Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact.

Role Description We're looking for an exceptional VP of Engineering to lead and grow our engineering organization at a pivotal moment — post-Series B, as we scale from a beloved open-source tool into the definitive vector search platform for enterprise AI. You will partner directly with our CEO and leadership team to shape technical direction, build an engineering culture, and ship products that developers and enterprises trust for their most critical workloads. This role combines technical leadership, organizational scaling, and ownership of product delivery. You will be responsible for building and operating our cloud platform, delivering commercial features, and ensuring enterprise-grade reliability, security, and scalability — while staying deeply aligned with our open-source core. You will work closely with the executive team, Product, and Go-to-Market functions to translate the company's strategy into engineering execution. What you will own - Lead and scale a distributed engineering organization across core database infrastructure, cloud platform, and developer experience — owning hiring, culture, and team design. - Partner with the leadership team on product roadmap and architectural decisions, translating company strategy into executable engineering plans. - Drive reliability, performance, and velocity across Qdrant's core engine, Qdrant Cloud, Hybrid Cloud, and emerging products like Cloud Inference and Qdrant Edge. - Establish engineering excellence: code quality standards, incident response, observability, and the operational rhythm needed to run a production database at scale. - Work closely with Product, Developer Relations, and Customer Success to ensure engineering efforts are tightly aligned with the needs of Qdrant's developer community and enterprise customers. - Define and own the engineering hiring plan to meet aggressive growth targets, with a focus on Rust, distributed systems, and ML infrastructure talent. - Champion a culture of rigor, ownership, and craft — the kind of culture that builds a custom storage engine from scratch because the off-the-shelf solution isn't fast enough. Qualifications - 10+ years in engineering leadership, including senior roles in cloud/platform engineering. - Experience building and scaling B2B SaaS platforms. - Proven track record in managing distributed teams. - Deep experience with Kubernetes and cloud-native architectures. - Experience operating high-scale, production-critical infrastructure. - Experience with enterprise security and compliance frameworks. Technical Depth - Strong background in distributed systems. - Experience running large-scale infrastructure in AWS/GCP/Azure. - Deep knowledge of observability, reliability engineering, and automation. - Strong understanding of DevOps, CI/CD, and infrastructure-as-code. Leadership Traits - Strategic thinker who can also dive deep technically. - Strong decision-making in high-growth, fast-changing environments. - Clear communicator across technical and business stakeholders. - Data-driven and customer-focused. Nice to have - Experience with search engines, databases, storage systems, or data infrastructure. - Experience in open-source companies. - Familiarity with AI/ML infrastructure or vector search systems. Benefits - A remote-first, international team working on cutting-edge AI infrastructure. - A competitive salary with additional perks. - Flexible working hours and async-friendly culture. - High ownership and real impact. - Open-source, engineering-driven culture. - Choose your own laptop equipment. - For US-based candidates, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy. Company Description Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations. Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom, we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data. As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI.

• Own the vision, roadmaps, prioritizations, and technical architecture of the banking services that supports ingestion and processing of bank data • Be hands-on leader providing guidance to team to move fast • Empower your team to own and solve complex problems from end-to-end while keeping the engineering excellence • Work with different stakeholders to align on strategy and execution.

Role Description We are hiring an Engineering Manager to lead our Core Portal team, the central surface through which customers interact with Kodex. This work sits at the heart of our product: everything our customers do flows through the Core Portal. - Manage and mentor a team of experienced engineers. - Partner closely with Product to help define the EM role as Kodex scales. - Drive AI proficiency across the team, treating AI tools as partners in software design and development. - Build a healthy, inclusive team where people enjoy the work and feel they’re growing. - Consolidate inputs from engineers, PMs, and leadership into a single, prioritized backlog. - Run simple, effective planning and prioritization. - Improve remote communication habits. - Partner closely with PMs to define roadmaps and balance product priorities with technical debt and reliability. - Engage in deep technical discussions with senior engineers on architecture and systems design. - Encourage effective use of AI tools in engineering work. - Ensure the team’s systems are reliable, maintainable, and aligned with long-term technical direction. - Define and track team goals, communicate progress and risks to leadership. Qualifications - ~3–7+ years as an Engineering Manager or equivalent people leader. - Previously worked as a hands-on engineer. - Technical depth to engage confidently with senior engineers. - Experience running performance reviews and coaching engineers. - Experience partnering with PMs from idea to shipped work. - Ability to take a team from conflicting inputs to a clear backlog. - Excitement about leveraging AI in engineering workflows. - Preference for rolling up sleeves and fixing problems directly. - Thrives in remote, startup environments. Requirements - Lead with empathy and care about people’s careers. - Comfortable being human and honest with the team. - Enjoy improving processes to help people move faster. - Bonus: experience in security, encryption, or data-protection-heavy systems. Benefits - Collaborative and ego-free environment. - Investment in quality and velocity. - Ownership of projects end to end. - Opportunity for real impact every day. Company Description Kodex revolutionizes how organizations handle sensitive subpoenas and data requests from law enforcement and government agencies. Founded by a former FBI agent and backed by leading investors, Kodex has become the industry standard for secure data exchange. - Supports over 15,000 government agencies in 190 countries. - Trusted by industry leaders like Coinbase, Stripe, and AT&T. - Helps organizations strengthen compliance, enhance security, and reduce operational costs.