<h3>Job Description</h3><div>Job Description<div><div><p>At Merge, we revolutionize the way B2B companies integrate. Unfamiliar with the integration problem? The average company expects to spend hundreds of hours a year integrating with dozens or more vendors. Alignment between sales, partnerships, product management, design, engineering, and customer success (a lot, right?) is absolutely critical — and a major headache. Integrations are a to-do that goes on and on.</p><p>Our Unified API empowers developers to offer integrations with hundreds of platforms instantly. Now we're hiring for you: an ambitious leader ready to help build, design, and support enterprise-grade software scaled to millions of users.</p></div><p><strong>Who are we looking for?</strong></p><p>Merge is looking for a driven Engineering Manager to manage our automation engineering team. Our automation engineering team powers the process of integration building at Merge, developing advanced tools to simplify the development, testing and monitoring of Merge's core integration product. Whether that is developing no-code tools for integration design, or building data-intensive systems to catch anomalous behavior, the team ensures that Merge builds feature-rich, high quality integrations.</p><p><strong>What you will do:</strong></p><ul><li>Own and manage one of our core engineering teams of 6, creating a culture of quality, excellence, and growth</li><li>Grow the team through hiring and internal career development</li><li>Work cross-functionally with product, engineering, sales, finance, leadership, and other teams to execute company goals</li><li>Built and grow the roadmap for your team while considering strategic direction, resource allocation, and organizational alignment, and more</li></ul><p><strong>The Ideal candidate will have: </strong></p><ul><li>2 - 4+ years experience managing and hiring engineers, having been and individual contributor engineer prior</li><li>Experience managing a high-performance team of both junior and senior talent in fast paced, startup-like environments</li><li>Familiarity with technologies, programming languages, and frameworks, such as Django, Python, React, Postgres, SQL, AWS, RDS, Docker, and Kubernetes</li><li>Experience planning team roadmaps and goals as a product-minded engineering leader</li><li>Ability to balance priorities, tradeoffs, and cross-functional initiatives working closely with product, finance, engineering and other organizational departments to drive successful business outcomes</li></ul><p><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong><strong>Compensation</strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></strong></p><ul><li>The cash compensation range for this role is $200,000-$230,000</li><li>Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications. In addition to cash compensation, all employees receive an equity compensation package.</li></ul><p><strong>Merge on the Rise: </strong></p><p>LinkedIn Top Startups 2023</p><p>Forbes Next Billion Dollar Startups 2023</p><p>G2 Fastest Growing Products 2024</p><p><strong>Benefits</strong></p><ul><li>Unlimited PTO + 10 company holidays</li><li>100% covered health, vision, and dental insurance</li><li>401K Plan</li><li>Free dinner when working past 7pm</li></ul><div><p><em>Merge is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other protected class.</em></p></div></div></div>

<h3>Job Description</h3><div>Job Description<div><p><strong>About Us:</strong></p><p>Let's be real—AI isn't magic; it's a tool, and it's only as powerful as the systems, workflows, and most importantly the people powering it. Yurts is unlocking all of that unstructured, hard-to-find, disconnected data and turning it into a secure knowledge management platform that's actually designed to serve people—wherever they work.</p><p>Born from a partnership with the Department of Defense to meet the demands of mission-critical environments, Yurts is redefining how teams harness AI for productivity and performance. Named after the resilient, adaptable yurt, our platform is designed to work <em>with</em> the systems you use—not replace them.</p><p>In collaboration with Nvidia, HPE, and Oracle we offer secure, innovative solutions, including air-gapped deployments for defense, a full ML ops analytics framework to drive cost efficiencies and a world-class proprietary RAG system serving answers you can trust. Yurts unifies applications, data, and workflows protecting investments and saving customers money. </p><p>Join us to shape the future of AI, creating solutions that elevate both technology and the people who use it.</p><p><strong>Role Overview:</strong></p><p>As an Engineering Manager in Applied Machine Learning at Yurts.ai, you'll be a vital leader driving the direction and impact of small, dedicated teams focused on applied machine learning and information retrieval to power the Yurts RAG platform. In this role, you'll work closely with cross-functional teams—including go-to-market and product design—to ensure our technical roadmap is closely aligned with the strategic objectives of the business. This involves tackling complex technical challenges in enterprise workflows and data, fostering a culture that prioritizes collaboration, innovation, and calculated risk-taking.</p><p>The ideal candidate will bring a strong background in machine learning engineering, with proven technical expertise in developing, deploying and supporting sophisticated, large-scale ML solutions. You will manage and support a team of senior-level engineers utilizing a range of machine learning tools and the latest knowledge management techniques to solve real-world business problems. Your team will develop algorithmic solutions and work in distributed computing production environments, integrating ML models into end-user-facing systems and applications.</p><p>Success in this role will require close collaboration with both technical and non-technical partners, including design and product teams, to build features that reflect a deep understanding of user needs and how they engage with algorithmically driven aspects of the product.</p><p></p><p><strong>Key Responsibilities:</strong></p><ul><li>Lead and support ICs working on applied machine learning and information retrieval to power customer-facing systems and applications.</li><li>Oversee all stages of ML project development, from research and prototyping to production deployment, ensuring timely delivery and high-quality execution.</li><li>Collaborate with go-to-market teams to align roadmap with business goals.</li><li>Dive deep into technical challenges surrounding complex enterprise workflows and data.</li><li>Recruit, mentor, and retain high-performing engineers, fostering a culture of innovation and collaboration.</li><li>Drive innovation in 0->1 product areas, exploring and implementing new machine learning technologies and techniques.</li><li>Leverage passion for generative AI and enterprise nuances to deliver solutions that enhance user experience.</li><li>Scale teams and management processes as the company grows rapidly.</li></ul><p></p><p><strong>Requirements:</strong></p><ul><li>2+ years of experience hiring and leading teams as an engineering manager.</li><li>Previous experience driving the development of applied ML applications.</li><li>Demonstrable expertise with natural language processing and machine learning techniques.</li><li>Strong software engineering background as an individual contributor, with experience tackling complex technical challenges in enterprise product development.</li><li>Excitement and curiosity for 0->1 product development, with a track record of turning innovative ideas into successful features.</li><li>Knowledge and experience in generative AI and its various applications.</li></ul><p></p><p><strong>Preferred Qualifications:</strong></p><ul><li>Knowledge and experience in generative AI and its various applications.</li></ul><p></p><p><strong>Additional Information:</strong></p><ul><li>This is a hybrid role</li><li>Yurts.ai is an equal-opportunity employer and values diversity in its workforce.</li></ul><p></p><p><strong><em>Equal Opportunity Statement</em></strong></p><p><em>Yurts provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.</em></p><div><div>Compensation Information</div><div>$215,000—$280,000 USD</div></div></div></div>

<h3>Job Description</h3><div>Job Description<div><div><p><strong>About Zilliz</strong></p><p>Zilliz is a fast-growing startup developing the industry's leading vector database company for enterprise-grade AI. Founded by the engineers behind Milvus, the world's most popular open-source vector database, the company builds next-generation database technologies to help organizations quickly create AI applications. On a mission to democratize AI, Zilliz is committed to simplifying data management for AI applications and making vector databases accessible to every organization.</p></div><div><strong>What you will do:</strong></div><div><ul><li>Hire, manage, and mentor teams of software engineers.</li><li>Execute against a comprehensive R&D strategy and company roadmap aligned with the company's goals and objectives.</li><li>Develop distributed database systems using Zilliz's innovative data science platforms.</li><li>Create request plans, develop new systems, and perform prototype verification and testing.</li><li>Design and write core architecture code and provide creative solutions to technical issues that arise during the product development process.</li><li>Take ownership of product performance and stability.</li><li>Research emerging technology to optimize the performance of underlying distributed platforms.</li><li>Manage the Milvus open-source community and broaden Zilliz's reach worldwide.</li></ul></div><div><strong>What we are looking for:</strong></div><div><ul><li>3+ years of experience of engineering leadership including; hiring, mentoring, delivering against priorities, and managing performance</li><li>5+ years of experience developing database or AI / ML systems </li><li>In-depth knowledge of distributed systems, low-level optimizations, search algorithms or storage systems.</li><li>Previous experience designing and developing large-scale cloud native systems.</li><li>Active user or contributor to one or more infrastructure software such as Snowflake, CockroachDB, Oracle RDBMS, Google BigQuery, Spanner, Redshift, Aurora, Cosmos DB, MySQL, PostgreSQL, Hudi, Delta Lake, Iceberg, Ray, Spark, Flink, Kafka, Redis, ElasticSearch, etc.</li><li>Bachelor's degree or above in computer science, software engineering, or other relevant disciplines.</li></ul></div><div><div><strong>Benefits:</strong></div><ul><li><div>Competitive compensation (cash + equity)</div></li><li><div>Regular bonus and equity refresh opportunities</div></li><li><div>Medical, dental, and vision insurance</div></li><li><div>Paid time off, including vacation, sick leave, and global reset/wellbeing days</div></li><li><div>Generous 401(k) and regional retirement plans</div></li></ul></div><div><div>Compensation Range</div><div>$200,000—$250,000 USD</div></div><div><p>Zilliz is committed to building an inclusive and diverse workforce. We are an Equal Opportunity Employer and welcome people from all backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment regardless of race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical disability, or length of time spent unemployed.</p></div></div></div>

Engineering Manager Jobs in Bodega Bay, CA

Engineering Manager
November 15, 2024

Engineering Manager Applied Machine Learning
November 15, 2024

Engineering Manager
November 4, 2024

Engineering Manager Database Systems
November 2, 2024

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Engineering Manager Jobs in Bodega Bay, CA

Engineering ManagerNovember 15, 2024

Engineering Manager Applied Machine LearningNovember 15, 2024

Engineering ManagerNovember 4, 2024