• Serve as the primary engineering owner for external partnership integrations, from discovery through GA launch. • Act as the technical counterpart in partnership discussions, validating feasibility, scope, and tradeoffs. • Support deal progression when needed through design proposals, architecture reviews, and technical assessments. • Establish and own an external integrations program that tracks work reliably across the full partnership lifecycle. • Define processes, roles, and execution models that enable multiple integrations to run in parallel without heroics. • Guide and support hands‑on integration work with partners, including direct consultation and building or extending first‑party components. • Ensure integrations are well‑designed, maintainable, and aligned with platform, security, and product standards. • Own engineering documentation that supports Strategic Partnerships, external partners, and internal engineers throughout integration work. • Identify recurring integration patterns and turn them into reusable approaches.

Who We Are PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning and artificial intelligence. We have a track record of success in deploying AI algorithms for histopathology in translational research, pathology labs and clinical trials.  Rigorous science and careful analysis is critical to the success of everything we do. Our team, composed of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact on patient outcomes. Where You Fit As the Asspcoate Director, MLOps Lead, you will lead the team responsible for the backbone of our AI/ML Stack: the infrastructure that bridges ML research and massive-scale production. Your primary directive is to evolve our stack to meet the next scale of needs in large scale ML training & inference workloads. You’re someone who enjoys designing and building for reliability, relishes collaboration and technical challenges, and takes pride in making things better – without taking yourself too seriously. Our technical space is broad: high-scale AI training & inference workloads, cloud infrastructure, Kubernetes, observability, distributed systems, and a bit of everything in between. What You’ll Do This role is critical for driving the scalability and efficiency of our Machine Learning Operations platform with high-impact & high growth strategic initiatives. Vision and Roadmap: Develop and execute the long term vision & roadmap for MLOPs team to support ML development and deployment needs across the business units. Successfully manage the tension between short-term tactical deliveries and long-term architectural transformation for future growth. Team Management: Lead and mentor a team of 6-7+ high-performing engineers. Strategically allocate resources to manage support for existing services while executing key strategic initiatives. Cross-Functional Collaboration: Partner with leaders across machine learning, data science, product engineering, and infrastructure to proactively identify pain points, address bottlenecks, and facilitate the deployment of new solutions. Foundation Model Readiness: Architect the compute and storage pipelines required for ML Engineers to manage millions of slides and complex derived artifacts without data fragmentation or synchronization latency. Inference Modernization: Modernize the AI Product inference stack to support 5-10x growth of AI runs across global deployments. System Observability: Collaborate with Site Reliability Engineering (SRE) to establish comprehensive metrics covering compute under-utilization, network bottlenecks, and granular cost and turn-around-time attribution. Technology Refresh: Conduct "Build vs. Buy" assessments, leading "Stack Refresh" audits to benchmark our proprietary tools against best-in-class commercial and open-source alternatives to meet our future needs. What You Bring

Company Description We are a stealth mode startup in the greater Boston area developing eVTOL passenger vehicles with a novel vertical flight propulsion/guidance system for deployment in the burgeoning urban air mobility space. Our innovative startup seeks driven, high performance, high energy achievers who can work in a multidisciplinary team to build a groundbreaking eVTOL platform that will be the foundation for a range of high performance ultra quiet vertical flight systems. Job Description Don't see your perfect role on our careers page? We want you to hear from you, and understand your superpower and what types of problems you like to solve. Please submit your resume to this posting and share in an email or cover letter introducing yourself, a few career milestones, and why the eVTOL and urban air mobility industry is exciting to you. Qualifications

WHO WE ARE At Nova Credit, we’re on a mission to power financial inclusion globally, building a unified platform for credit and financial data that meaningfully impacts lives. Our software engineers develop innovative solutions that incorporate data integrations and advanced analytics into seamless user experiences, transforming diverse data into actionable risk insights. Join us to help unlock economic opportunities for consumers historically excluded from traditional credit systems. We foster a dynamic, inclusive environment that values diversity, intellectual honesty, and innovation, and are committed to supporting your professional growth. Our Technology Stack We leverage Node.js, React, TypeScript, Python, PostgreSQL, AWS to bring our products to life. THE OPPORTUNITY We’re seeking a Senior Software Engineering Manager to lead a high-impact vertical engineering team working on cross-functional initiatives. In this role, you will be instrumental in developing your team and defining the technical strategy that powers innovation at scale across our products and platform. You will elevate our engineering organization's overall capability by championing mentorship, establishing best practices, and fostering a culture of technical excellence. Your Profile & Expertise: 8+ years of software engineering experience, with at least 3+ years in a management role hiring and leading high-performing teams in a face-paced, product-driven environment or high-growth startups. Strong technical foundation with the ability to engage deeply in architectural discussions and guide technical strategy without needing to be the primary coder. Exceptional leadership and mentorship skills, with a passion for developing engineers’ careers and building inclusive, highly collaborative team cultures. Strategic collaborator who can partner effectively with Product, Design, and Data Science leadership to align technical roadmaps with business objectives. Your Contributions Across Diverse Projects: Driving the execution of complex, cross-functional initiatives that span product verticals and foundational systems. Defining and refining team-level technical strategies to ensure long-term scalability and reliability of our enterprise-grade platform. Scaling the engineering organization through active participation in hiring, onboarding, and organizational design. Optimizing engineering processes such as sprint planning, code review standards, and incident management to improve team velocity and quality. Acting as a bridge between technical and non-technical stakeholders, translating business goals into clear technical milestones for your team. Engaging deeply with the team’s day-to-day challenges to provide guidance and support new product and customer launches. In the first month, you’ll: Deepen your understanding of our mission and business model while becoming familiar with our technical roadmap, engineering culture, and development lifecycle. Build rapport with your direct reports and key stakeholders across engineering, product, and design. Land several initial tickets to quickly familiarize yourself with our tech stack and release process. Take ownership of your team’s delivery, identifying early opportunities to remove blockers and ensuring high-impact initiatives are met with quality and speed. In the first quarter, you’ll: Establish clear performance goals and career development plans for your direct reports. Actively contribute to refining engineering norms, such as optimizing project planning and elevating code review standards. Collaborate with leadership to shape the next phase of the product roadmap based on technical feasibility and strategic impact. Drive measurable improvements in delivery, velocity and quality, directly improving the impact and reliability of our product offering. In the first year, you’ll: Successfully scale your team’s impact by identifying and hiring top-tier engineering talent. Influence and implement the company’s broader technical roadmap in close partnership with senior leadership. Drive significant architectural or systemic improvements that simplify and scale our product platform. Become a recognized leader within the organization, championing a culture of open dialogue, feedback, and continuous technical growth. $212,500 - $259,200 USD per year The above compensation ranges are dependent on individual experience, skills, education, location, and qualifications. We consider all elements of compensation to be a part of the value we provide to Novans. This may include base salary, equity grants, incentive compensation for eligible roles, professional development, flexible PTO, and tenure rewards. In the U.S., our benefits package includes comprehensive and generously subsidized medical, dental, and vision insurance options, along with a company-sponsored 401 (k) plan, generous parental leave, sick time off, and paid vacation time.