About the role

The Senior DevOps Engineer will be responsible for enhancing and scaling the infrastructure powering Rhino’s Federated Computing Platform (Rhino FCP). This distributed infrastructure supports cutting-edge AI/ML research and development across highly regulated industries, including healthcare, finance, and life sciences, by enabling secure, privacy-preserving data collaboration around the world.

You will oversee a fleet of installations deployed behind the firewalls of partner organizations, alongside a centralized cloud orchestration layer and advanced CI/CD pipelines, monitoring systems, and deployment tooling. You'll collaborate closely with backend engineers, as many infrastructure components are tightly integrated with the FCP’s core capabilities.

This role involves end-to-end ownership: from architecture and design to implementation and support. It’s ideal for someone who thrives in fast-paced environments, loves working with modern infrastructure, and is excited to drive innovation in secure, distributed AI platforms.

Key Responsibilities

• End-to-End Infrastructure Ownership: Take full ownership of infrastructure components - from initial ideation and architectural design through implementation and automated deployment, across diverse technologies and geographically distributed environments.
• Scalability and Enhancement: Continuously enhance and scale the platform’s underlying infrastructure by implementing updates, driving performance improvements, and integrating new platform capabilities to support product growth.
• Maximize Development Velocity: Design, improve, and maintain DevOps tooling and workflows (CI/CD pipelines, configuration management) to significantly boost development velocity and streamline the engineering process.
• Distributed Deployment Management: Oversee and manage all platform deployments, ensuring consistency and reliability across local installations at client sites and within the centralized cloud orchestration layer.
• Product Development: Collaborate closely with Backend and Frontend Engineering teams to co-develop platform features that have significant infrastructure dependencies, ensuring new capabilities are designed and implemented with built-in scalability and operational tooling.
• Establish Foundational Quality: Ensure observability, scalability, and security are deeply integrated and prioritized across the design, implementation, and operation of all infrastructure layers.

About the candidate

Candidates should have 5+ years of professional experience with a mix of the experiences described below:

• 5+ years of experience in DevOps engineering with clouds, GCP/AWS preferred
• 5+ years of experience designing and developing infrastructure components with Kubernetes (Including solid understanding of CRD on different Kubernetes platforms)
• Extensive experience with Linux, Docker/ContainerD
• 5+ years of experience with Python
• 5+ years of experience working with IaC and CM tools (Terraform, Terragrunt, Ansible)
• 5+ years of experience implementing monitoring solutions (Prometheus/VictoriaMetrics, Grafana, GoAlert, etc) and logging systems (VictoriaLogs or similar, Filebeat/FluentBit/Vector, etc.)
• 3+ years of experience with CI/CD tools like GitHub Actions
• 3+ years of experience with GitOps tools (ArgoCD)
• Deep understanding of networking and experience developing infrastructure with non-trivial networking components (e.g. WireGuard VPN, NGINX passthrough, mTLS, gRPC, confidential computing environments, etc)
• Experience working in a startup environment
• Advantage for experience developing AI/ML-based products or platforms
• Advantage for experience developing distributed systems
• Advantage for experience developing products with a focus on data security and privacy (e.g., PII data protection)
• The role is open to candidates who are based in Israel (hybrid work environment)

About Rhino Federated Computing

Rhino Federated Computing Rhino solves one of the biggest challenges in AI: seamlessly connecting siloed data, apps, and models through federated computing. Our platform enables our customers to share business insight and processing without compromising intellectual property, data privacy, or data security. Our Rhino Federated Computing Platform offers flexible architecture across multi-cloud and on-prem hardware, end-to-end data management controls and workflows, and privacy enhancing technologies. Rhino is trusted by over 60 leading consortia and enterprises worldwide, including 14 of 20 of Newsweek’s ‘Best Smart Hospitals’ and top 20 global biopharma companies.

The company is headquartered in Boston, with an R&D center in Tel Aviv.

About the Role

As the Team Lead for the Forward Deployed AI Engineering Team, you will serve as a hands-on Player/Coach, leading a customer-facing AI engineering and scientist group responsible for deploying and scaling Rhino’s Federated Computing Platform (FCP) in complex, real-world environments. You will maintain a direct, hands-on contribution by working with customers’ technical and research teams to design, implement, and optimize federated AI models and systems. Critically, you will also coach, mentor, and manage a team of applied AI engineers, guiding them through federated model training, inference, deployment, and monitoring, while helping customers unlock the full potential of federated data collaboration. Your leadership will shape how federated AI is operationalized at scale. 

Key Responsibilities

Technical Leadership & Delivery

• Lead the design and delivery of federated AI solutions across imaging, text, and structured data domains.
• Design and implement federated training and inference pipelines, integrating data preprocessing, model orchestration, and AIOps tooling.
• Own project execution from scoping to deployment — ensuring clarity, speed, and technical excellence.

Customer Engagement & Enablement

• Partner directly with customers to understand workflows, map data ecosystems, and design scalable AI solutions.
• Serve as a trusted technical advisor on privacy-preserving ML, model optimization, and deployment best practices.
  Build long-term relationships that drive adoption and measurable outcomes for customer programs.

Team Leadership 

• Manage multiple concurrent engagements, balancing strategic leadership with hands-on problem-solving.
• Provide mentorship to Forward Deployed Engineers and Scientists, fostering a high-performance, learning-driven culture.

Product Feedback & Innovation

• Identify reusable solution patterns and contribute to the standardization of federated AI workflows.
• Surface customer insights and field feedback that shape Rhino’s roadmap.
• Collaborate with product and research teams to prototype and validate new federated learning research and frameworks.

Required Skills

• Experience: 5+ years in applied AI, machine learning engineering, or MLOps roles; experience deploying models in production environments.
• Technical Expertise: Deep hands-on experience with deep learning frameworks (PyTorch, TensorFlow, JAX) and AI/MLOps ecosystems.
• Generative AI Tools: Familiarity with LLM frameworks (GPT, Gemini, Claude, LangChain, agentic frameworks, etc.).
• Programming & Systems: Strong proficiency in Python, REST APIs, and data systems (SQL/NoSQL); comfort with cloud computing and GPU-based systems.
• Delivery Focus: Proven ability to own technical outcomes end-to-end, from scoping and prototyping to full-scale delivery.
• Collaboration: Excellent communication skills and the ability to operate across customer, product, and engineering teams.
• Mindset: Action-oriented, adaptable, and able to prioritize effectively in fast-changing environments.

Preferred Skills

• Industry experience in healthcare, biopharma, financial services, and public sector.
• Ph.D. or M.S. in a quantitative field (Computer Science, Engineering, Biomedical Informatics, Bioinformatics, Chemistry, or related).
• Prior experience deploying federated learning, privacy-preserving AI, or secure distributed computing systems.

Location 

Boston preferred, but open to other locations for highly qualified candidates.

Visa Sponsorship

We will sponsor visas for USA PhD candidates in the relevant areas - Mathematics, Artificial Intelligence, Federated Learning, Computational Chemistry/Biology/Biomedical candidates. An B.S./M.S. with extensive, directly relevant industry experience will also be considered.

About Rhino Federated Computing

Rhino Federated Computing Rhino solves one of the biggest challenges in AI: seamlessly connecting siloed data through federated computing. Our platform leverages federated computing to connect disparate data sources, enabling secure global collaboration for data pre-processing, AI model training and deployment, without compromising privacy, intellectual property, or data security. Our platform allows for the secure deployment of custom code and third party applications via persistent data pipelines. To do this, Rhino FCP offers flexible architecture across multi-cloud and on-prem hardware, end-to-end data management workflows (multimodal data, schema definition, harmonization, and visualization), and privacy enhancing technologies (e.g., differential privacy). Rhino is trusted by over 60 leading organizations worldwide - including 14 of 20 of Newsweek’s ‘Best Smart Hospitals’ and Top 20 global biopharma companies. Our vertical-agnostic infrastructure is also a foundation for financial services, eCommerce, and beyond.

The company is headquartered in Boston, with an R&D center in Tel Aviv.

About the Role

We are seeking a highly motivated, detail-oriented, technology-savvy, and creative Senior Product Manager to join our team in the United States. Reporting directly to the VP Product, you will be instrumental in shaping the future of the Rhino Federated Computing Platform.

In this critical role, you will work closely with our Engineering and UX teams to elevate the end-to-end platform experience, spanning the Graphical User Interface (GUI), Software Development Kits (SDKs), and external APIs.  You will be instrumental in defining and delivering the product roadmap with a strong emphasis on platform interoperability and extensibility, assisting quarterly planning cycles, and defining innovative new product features that address the complex needs of our enterprise customers in healthcare, life sciences, and financial services. You will own the user journey from initial data federation to the deployment of production-ready AI agents.

This is a unique opportunity to make a significant impact in a fast-paced, successful startup environment, directly contributing to a platform that is breaking down data barriers and accelerating AI innovation in critical industries.

Key Responsibilities

• Collaborate closely with the VP Product on overall product strategy, roadmap prioritization, and market analysis.
• Define detailed product requirements, user stories, and acceptance criteria for both technical (API/SDK) and end-user (GUI) use cases, ensuring a cohesive experience across all platform surfaces.
• Define requirements for deep-seated AI agents and manage integrations with cloud AI/ML services and compatible with the Model Context Protocol (MCP) to deepen platform analytical capabilities and streamline end-to-end federated workflows.
• Manage and prioritize the product backlog, ensuring alignment with the product roadmap and business objectives. Conduct market research, competitive analysis, and gather customer feedback to identify opportunities and inform product decisions.
• Effectively lead and facilitate agile ceremonies, including sprint pre-planning, sprint planning, daily stand-ups, and sprint retrospectives, to optimize team collaboration and efficiency.
• Collaborate with client-facing teams, providing product materials and expertise. Translate field insights and customer needs into impactful platform improvements and new features, acting as the customer and end-user advocate to Engineering.
• Champion the user experience and UX design, working closely with design resources to create powerful interfaces and seamless developer experiences that simplify the management of the AI lifecycle.
• Define and track key product metrics, analyze performance data, and leverage insights to inform product iterations and strategic decisions.

Required Qualifications

• 4+ years of product management experience in B2B SaaS building AI/ML/Data platforms, with a total of 8+ years of experience in these fields.
• Proven ability to own product areas, define roadmaps, and drive product development from conception to launch within an agile environment.
• Strong understanding of deep tech AI/ML product development with the ability to engage in technical discussions with data scientists.
• Proven experience with user experience (UX) principles and collaborating with UX designers.
• Excellent written and verbal communication skills and exceptional attention to detail.
• Experience working in a startup or fast-growing technology company.
• Based in Boston, MA, USA (hybrid work environment).

Preferred Qualifications

• Applied experience working with Agentic AI workflows, platform integrations, and/or MLOps products.
• A proven track record of delivering highly usable and intuitive enterprise platform experiences (GUI, SDKs, APIs) that simplify complex technical workflows, demonstrating a balance of user-centered design and technical performance.

About Rhino

Rhino Federated Computing Rhino solves one of the biggest challenges in AI: seamlessly connecting siloed data, apps, and models through federated computing. Our platform enables our customers to share business insight and processing without compromising intellectual property, data privacy, or data security. Our Rhino Federated Computing Platform offers flexible architecture across multi-cloud and on-prem hardware, end-to-end data management controls and workflows, and privacy enhancing technologies. Rhino is trusted by over 60 leading consortia and enterprises worldwide, including 14 of 20 of Newsweek’s ‘Best Smart Hospitals’ and top 20 global biopharma companies.

The company is headquartered in Boston, with an R&D center in Tel Aviv.

About the Role

As a Deployment Strategist, you will play a critical role in ensuring the successful delivery and expansion of some of our most strategic customer deployments. This role sits at the heart of our customer programs and serves as the key driver of deployment execution, delivery governance, and cross-functional alignment.

You will act as the orchestrator across internal teams (Engineering, Product, Solutions, Delivery, Support, Customer Success, and Commercial) and customer stakeholders to ensure that customer goals translate into successful, scalable, and measurable outcomes. You will deeply understand customer environments, program goals, timelines, dependencies, and risks—and ensure that the right decisions, prioritization, and escalation happen at the right time.

This is not a hands-on implementation role, but it requires strong technical fluency, strong stakeholder leadership, and high ownership. You will lead complex programs with multiple workstreams and ensure that we execute with clarity, accountability, and predictability.

Key Responsibilities

Customer & Program Ownership

• Own customer deployment programs end-to-end across discovery, planning, execution, go-live readiness, and ongoing expansion initiatives.
• Develop a deep understanding of customer goals, use cases, operating model, and technical landscape in order to shape realistic deployment strategies and success plans.
• Partner with customer stakeholders to align on milestones, rollout sequencing, and readiness criteria.

Program Planning & Execution

• Define and maintain project plans, timelines, dependencies, and deliverables across multiple workstreams and teams.
• Drive execution discipline by leading recurring program cadences (status reviews, workstream syncs, risk reviews, stakeholder updates).
• Ensure clear ownership, accountability, and follow-through across internal and external stakeholders.

Technical Gap Identification & Risk Management

• Identify technical gaps, blockers, and areas of ambiguity early and drive resolution through the appropriate teams.
• Proactively manage risks, escalation paths, and scope control—ensuring that issues are surfaced early and addressed before they become delivery failures.
• Ensure that deployment decisions account for both short-term success and long-term scalability.

Cross-Functional Leadership

• Coordinate and align internal teams including Engineering, Product, Solutions, BI, Support Customer Success, and Commercial stakeholders.
• Act as the connective tissue between customer reality and internal execution—ensuring accurate expectations, clean handoffs, and strong ownership across teams.
• Ensure feedback loops are established so delivery learnings inform product roadmap, deployment playbooks, and solution standardization.

Customer Success & Outcomes

• Ensure deployments lead to measurable customer outcomes, adoption readiness, and long-term operational success.
• Drive go-live readiness criteria and ensure the customer is prepared for success post-deployment.
• Partner with Customer Engagement and Delivery leadership to ensure customers receive proactive attention when adoption or outcomes are at risk.

Required Skills

Experience & Core Capabilities

• 5+ years of experience in program management, solutions delivery, implementation leadership, technical account leadership, or similar roles in a B2B SaaS or deep-tech environment.
• Proven experience leading complex customer programs with multiple workstreams and executive-level stakeholders.
• Strong ability to drive accountability across cross-functional teams, including teams you do not manage directly.

Technical Fluency

• Strong technical understanding of software deployments and delivery processes (e.g., APIs, data pipelines, cloud environments, integrations, authentication, BI/reporting workflows).
• Ability to identify technical gaps and ask the right questions—even if you are not implementing directly.
• Comfortable engaging in technical conversations with customer engineering/data teams and internal product/engineering teams.

Leadership, Communication & Stakeholder Management

• Exceptional communication skills—able to translate between technical and non-technical stakeholders with clarity and credibility.
• Strong customer-facing presence and confidence; able to push back, manage expectations, and escalate appropriately when needed.
• Strong organizational and prioritization skills, with an ability to thrive in ambiguous and fast-moving environments.

Mindset & Personal Traits

• High ownership mentality: acts as if the customer program is “your business.”
• Strong judgment and decision-making: knows how to drive alignment without consensus paralysis.
• Structured thinker who can build repeatable execution systems and improve processes over time.
• Calm under pressure, proactive, and willing to raise flags early to protect delivery success.

Location 

Boston, Massachusetts

About Rhino

Rhino Federated Computing Rhino solves one of the biggest challenges in AI: seamlessly connecting siloed data, apps, and models through federated computing. Our platform enables our customers to share business insight and processing without compromising intellectual property, data privacy, or data security. Our Rhino Federated Computing Platform offers flexible architecture across multi-cloud and on-prem hardware, end-to-end data management controls and workflows, and privacy enhancing technologies. Rhino is trusted by over 60 leading consortia and enterprises worldwide, including 14 of 20 of Newsweek’s ‘Best Smart Hospitals’ and top 20 global biopharma companies.

The company is headquartered in Boston, with an R&D center in Tel Aviv.

About the Role

We are seeking a visionary and authoritative Solutions Architect to set the technical solution and architectural strategy for Federated Computing AI across our customer base and product development. You will act as a trusted technical expert, defining architectural standards, providing thought leadership, and serving as a primary technical advisor for strategic accounts. You will collaborate closely with Sales, Forward Deployed Engineering, and Product teams, and provide technical leadership and mentorship to the broader Delivery team to ensure excellence in architectural integrity.

Key Responsibilities

• Define a technical vision, architectural best practices, and repeatable patterns for the deployment of the Rhino Federated Computing Platform.
• Act as an escalation point for the Delivery team, helping to resolve the complex technical and architectural challenges.
• Provide technical thought leadership to technical and senior technical client stakeholders, contributing to the shaping of their long-term AI and data strategy and acting as a trusted advisor on complex architectural decisions.
• Oversee the development of foundational, reusable reference architectures and deployment best practices that scale for Rhino’s solution portfolio.
• Showcase the Rhino value proposition through presentations, meetings, and written artifacts in coordination with the Rhino sales and product teams.
• Create customer-specific documents, presentations, guides, and blogs demonstrating advanced capabilities of the Rhino platform.
• Scope, and at times execute pilots for highly complex customer engagements and nurture strong customer relationships during the product evaluation and review process.
• Provide critical feedback and collaborate cross-functionally with product and engineering teams to address customer issues with a focus on strategic product improvements.

Required Skills

• Excellent communication and interpersonal skills. Effective presentation and demonstration skill and ability to translate business and technical concepts for all types of audiences, including senior executives.
• 8-10+ years of progressive experience in technical architecture and engineering roles.
• Demonstrated expertise in large-scale, complex system design and architecture, with a proven track record of setting technical direction and successfully launching enterprise-grade platforms.
• A history of successfully influencing product roadmap through synthesis of customer requirements and market trends.
• Hands-on experience with Cloud, Data Platform, or AI platform technologies.
• Experience in delivering live prototypes using platform products.
• Strong organizational skills and ability to manage multiple complex customer needs simultaneously.

Preferred Skills

• Deep AI Workflow Knowledge - Modeling, Instruction Tuning, Fine tuning, and Inference.
• Data Engineering stack.
• Familiarity with Kubernetes and Dockers.
• Healthcare, Life Sciences, or Financial Services domain experience.
• Degree in a quantitative field, with computer science or engineering.

Location 

Rhino HQ is located in Boston, however candidates from all over the USA are encouraged to apply as they can work remotely.

About Rhino

Rhino Federated Computing Rhino solves one of the biggest challenges in AI: seamlessly connecting siloed data, apps, and models through federated computing. Our platform enables our customers to share business insight and processing without compromising intellectual property, data privacy, or data security. Our Rhino Federated Computing Platform offers flexible architecture across multi-cloud and on-prem hardware, end-to-end data management controls and workflows, and privacy enhancing technologies. Rhino is trusted by over 60 leading consortia and enterprises worldwide, including 14 of 20 of Newsweek’s ‘Best Smart Hospitals’ and top 20 global biopharma companies.

The company is headquartered in Boston, with an R&D center in Tel Aviv.

About the Role

We’re seeking a Director of Business Development to drive growth across our rapidly expanding Life Sciences business. Reporting directly to the VP, Life Sciences, you’ll be responsible for cultivating strategic relationships with biopharma and biotech partners, advancing enterprise opportunities, and helping bring cutting-edge federated data and AI solutions to therapeutic R&D, clinical development, and real-world evidence generation.

You’ll join a fast-moving, mission-driven team redefining how systems learn: via secure, privacy-preserving collaborations that enable global data access and analytics.

Key Responsibilities

• Drive new business and revenue growth across the biopharma ,biotech, and techbio sectors by identifying, qualifying, and closing enterprise software and data collaboration opportunities.
• Own the full sales cycle, from prospecting and solution scoping to proposal, negotiation, and close, and in collaboration with customer solutions and product teams.
• Partner with the VP, Life Sciences to execute on the go-to-market strategy, pipeline prioritization, and customer engagement models.
• Translate complex technology (AI/ML, federated computing, data harmonization, privacy-enhancing technologies) into clear, outcome-driven value propositions for R&D, clinical development, RWE and digital innovation teams.
• Build and maintain key relationships with stakeholders in biopharma, biotech, techbio, CROs, and research consortia.
• Collaborate cross-functionally with Product, Solutions and Marketing to ensure consistent messaging and successful prospect engagements.
• Track and report pipeline metrics, forecasts, and progress toward quarterly and annual targets.

Our target outcomes for this role are (1) new logos and (2) annual recurring revenue.

Qualifications

• 5+ years of experience selling technical or software solutions (AI platforms, data analytics, or enterprise SaaS) to biopharma and/or biotech organizations.
• Bachelor’s degree required; advanced degree in life sciences, engineering, or business preferred.
• Proven track record of meeting or exceeding sales targets and driving adoption of complex, high-value technology.
• Familiarity with drug discovery and/ or clinical development workflows.
• Excellent communication and storytelling skills, demonstrated ability to engage both technical and nontechnical audiences.
• Entrepreneurial mindset, with comfort operating in an emerging, fast-scaling business.
• Strong time management and organizational skills; ability to prioritize multiple tasks.
• Familiarity with Sales Lifecycle Management including the use of CRM tools and various databases to document customer interactions.
• Broad-based networking skills; demonstrated ability to build relationships and to communicate at senior management level.
• Ability to be proactive with an energetic and flexible approach.
• Willingness to travel (30%).

About the role

The Senior Backend Engineer will be responsible for enhancing and scaling Rhino’s Federated Computing Platform (FCP), used around the world to power cutting edge AI/ML research and development for healthcare and other regulated industries, ultimately driving a shift in innovation and delivery in these industries. You will be responsible for developing new features and enhancements spanning several different technologies and will be expected to learn new technologies as this field is evolving rapidly. You will work closely with other backend engineers, frontend engineers, devops engineers, data scientists, product managers, and business stakeholders across the company. Day-to-day, your role will be architecting, designing, and developing backend sub-systems in Python. You will also work closely with frontend development in JavaScript/TypeScript and React, with infrastructure development on Kubernetes with Terraform, and with data science and AI/ML development using a wide range of model architectures and libraries. This role is for a fast learner who loves technology and is excited to build a cutting edge platform that will improve healthcare and privacy preservation around the world.

• Take entire backend sub-systems from ideation through design and implementation across a broad range of technologies and environments.
• Interface closely with (occasionally also writing code for) frontend, devops, and data science components.
• Introduce improvements to our tools and methodologies to increase the velocity of our development team and the reliability of our platform, including using the latest AI tooling.

About the candidate

Candidates should have the experience described below:

• 7+ years of software development
• 5+ years developing production platforms/products/applications in Python
• 3+ years using web application frameworks like Django/Flask/FastAPI
• Experience working in a startup environment
• Advantage for experience developing AI/ML based products or platforms
• Advantage for experience developing distributed systems
• The role is open to candidates who are based in Israel (hybrid work environment)